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med_fedavgm.out
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[2024-08-23 13:51:10,359] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
/home/tiger/.local/lib/python3.9/site-packages/deepspeed/runtime/zero/linear.py:49: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
def forward(ctx, input, weight, bias=None):
/home/tiger/.local/lib/python3.9/site-packages/deepspeed/runtime/zero/linear.py:67: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead.
def backward(ctx, grad_output):
/home/tiger/.local/lib/python3.9/site-packages/bytedmetrics/__init__.py:10: UserWarning: bytedmetrics is renamed to bytedance.metrics, please using `bytedance.metrics` instead of `bytedmetrics`
warnings.warn("bytedmetrics is renamed to bytedance.metrics, please using `bytedance.metrics` instead of `bytedmetrics`")
Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
Unsloth 2024.8 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers.
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
ScriptArguments(model_name_or_path='/mnt/bn/data-tns-live-llm/leon/datasets/llama-3-8b-bnb-4bit/', dataset_name='iid2niid_med', log_with='none', learning_rate=5e-05, batch_size=16, seq_length=2048, gradient_accumulation_steps=2, load_in_8bit=False, load_in_4bit=True, use_peft=True, trust_remote_code=False, output_dir='/mnt/bn/data-tns-live-llm/leon/datasets/fed/iid2niid_med_20000_fedavgm_c10s2_i10_b16a2_l2048_r32a64_f0', peft_lora_r=32, peft_lora_alpha=64, logging_steps=100, use_auth_token=False, num_train_epochs=5, max_steps=10, save_steps=1000, save_total_limit=3, push_to_hub=False, hub_model_id=None, gradient_checkpointing=True, template='alpaca', seed=2023, dpo_beta=0.1, dataset_sample=20000, local_data_dir=None, unsloth=1, bf16=1, online_dataset=0, full_data=0) FedArguments(fed_alg='fedavgm', num_rounds=30, num_clients=10, sample_clients=2, split_strategy='iid', prox_mu=0.01, fedopt_tau=0.001, fedopt_eta=0.001, fedopt_beta1=0.9, fedopt_beta2=0.99, save_model_freq=10)
using unsloth model
==((====))== Unsloth 2024.8: Fast Llama patching. Transformers = 4.44.0.
\\ /| GPU: NVIDIA A100-SXM4-80GB. Max memory: 79.347 GB. Platform = Linux.
O^O/ \_/ \ Pytorch: 2.4.0+cu121. CUDA = 8.0. CUDA Toolkit = 12.1.
\ / Bfloat16 = TRUE. FA [Xformers = 0.0.27.post2. FA2 = False]
"-____-" Free Apache license: http://github.com/unslothai/unsloth
30
>> ==================== Round 1 : [6, 9] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:09<01:26, 9.58s/it] 20%|██ | 2/10 [00:11<00:41, 5.17s/it] 30%|███ | 3/10 [00:13<00:26, 3.82s/it] 40%|████ | 4/10 [00:16<00:19, 3.26s/it] 50%|█████ | 5/10 [00:18<00:14, 2.92s/it] 60%|██████ | 6/10 [00:20<00:10, 2.69s/it] 70%|███████ | 7/10 [00:22<00:07, 2.46s/it] 80%|████████ | 8/10 [00:24<00:04, 2.36s/it] 90%|█████████ | 9/10 [00:27<00:02, 2.32s/it]100%|██████████| 10/10 [00:29<00:00, 2.33s/it] 100%|██████████| 10/10 [00:30<00:00, 2.33s/it]100%|██████████| 10/10 [00:30<00:00, 3.06s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 30.6449, 'train_samples_per_second': 10.442, 'train_steps_per_second': 0.326, 'train_loss': 0.8499920845031739, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.53s/it] 20%|██ | 2/10 [00:04<00:18, 2.29s/it] 30%|███ | 3/10 [00:06<00:16, 2.29s/it] 40%|████ | 4/10 [00:09<00:13, 2.26s/it] 50%|█████ | 5/10 [00:11<00:10, 2.20s/it] 60%|██████ | 6/10 [00:13<00:08, 2.21s/it] 70%|███████ | 7/10 [00:15<00:06, 2.20s/it] 80%|████████ | 8/10 [00:18<00:04, 2.27s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.31s/it]100%|██████████| 10/10 [00:22<00:00, 2.32s/it] 100%|██████████| 10/10 [00:26<00:00, 2.32s/it]100%|██████████| 10/10 [00:26<00:00, 2.65s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 26.4743, 'train_samples_per_second': 12.087, 'train_steps_per_second': 0.378, 'train_loss': 0.8481625556945801, 'epoch': 1.0}
>> ==================== Round 2 : [1, 2] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:04<00:43, 4.88s/it] 20%|██ | 2/10 [00:09<00:38, 4.83s/it] 30%|███ | 3/10 [00:13<00:32, 4.60s/it] 40%|████ | 4/10 [00:19<00:30, 5.01s/it] 50%|█████ | 5/10 [00:25<00:25, 5.17s/it] 60%|██████ | 6/10 [00:29<00:19, 4.87s/it] 70%|███████ | 7/10 [00:34<00:14, 4.85s/it] 80%|████████ | 8/10 [00:38<00:09, 4.62s/it] 90%|█████████ | 9/10 [00:40<00:04, 4.01s/it]100%|██████████| 10/10 [00:44<00:00, 3.70s/it] 100%|██████████| 10/10 [00:45<00:00, 3.70s/it]100%|██████████| 10/10 [00:45<00:00, 4.50s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 45.0487, 'train_samples_per_second': 7.103, 'train_steps_per_second': 0.222, 'train_loss': 0.7673516750335694, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:24, 2.77s/it] 20%|██ | 2/10 [00:05<00:23, 2.88s/it] 30%|███ | 3/10 [00:08<00:18, 2.67s/it] 40%|████ | 4/10 [00:10<00:15, 2.55s/it] 50%|█████ | 5/10 [00:14<00:15, 3.05s/it] 60%|██████ | 6/10 [00:17<00:11, 2.98s/it] 70%|███████ | 7/10 [00:19<00:08, 2.81s/it] 80%|████████ | 8/10 [00:22<00:05, 2.90s/it] 90%|█████████ | 9/10 [00:25<00:02, 2.81s/it]100%|██████████| 10/10 [00:27<00:00, 2.71s/it] 100%|██████████| 10/10 [00:28<00:00, 2.71s/it]100%|██████████| 10/10 [00:28<00:00, 2.90s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 28.9615, 'train_samples_per_second': 11.049, 'train_steps_per_second': 0.345, 'train_loss': 0.7666320323944091, 'epoch': 1.0}
>> ==================== Round 3 : [0, 1] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.32s/it] 20%|██ | 2/10 [00:04<00:18, 2.30s/it] 30%|███ | 3/10 [00:07<00:16, 2.40s/it] 40%|████ | 4/10 [00:09<00:14, 2.35s/it] 50%|█████ | 5/10 [00:11<00:11, 2.30s/it] 60%|██████ | 6/10 [00:13<00:09, 2.30s/it] 70%|███████ | 7/10 [00:15<00:06, 2.21s/it] 80%|████████ | 8/10 [00:18<00:04, 2.19s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.21s/it]100%|██████████| 10/10 [00:22<00:00, 2.13s/it] 100%|██████████| 10/10 [00:23<00:00, 2.13s/it]100%|██████████| 10/10 [00:23<00:00, 2.34s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 23.4047, 'train_samples_per_second': 13.672, 'train_steps_per_second': 0.427, 'train_loss': 0.796363115310669, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:07<01:03, 7.07s/it] 20%|██ | 2/10 [00:12<00:47, 5.88s/it] 30%|███ | 3/10 [00:15<00:32, 4.62s/it] 40%|████ | 4/10 [00:18<00:24, 4.13s/it] 50%|█████ | 5/10 [00:23<00:22, 4.56s/it] 60%|██████ | 6/10 [00:26<00:15, 3.97s/it] 70%|███████ | 7/10 [00:32<00:13, 4.56s/it] 80%|████████ | 8/10 [00:36<00:08, 4.32s/it] 90%|█████████ | 9/10 [00:39<00:03, 3.83s/it]100%|██████████| 10/10 [00:44<00:00, 4.35s/it] 100%|██████████| 10/10 [00:45<00:00, 4.35s/it]100%|██████████| 10/10 [00:45<00:00, 4.58s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 45.7862, 'train_samples_per_second': 6.989, 'train_steps_per_second': 0.218, 'train_loss': 0.7988780021667481, 'epoch': 1.0}
>> ==================== Round 4 : [3, 8] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.34s/it] 20%|██ | 2/10 [00:05<00:20, 2.59s/it] 30%|███ | 3/10 [00:07<00:17, 2.45s/it] 40%|████ | 4/10 [00:09<00:14, 2.47s/it] 50%|█████ | 5/10 [00:13<00:14, 2.92s/it] 60%|██████ | 6/10 [00:16<00:11, 2.87s/it] 70%|███████ | 7/10 [00:18<00:08, 2.69s/it] 80%|████████ | 8/10 [00:21<00:05, 2.79s/it] 90%|█████████ | 9/10 [00:24<00:02, 2.75s/it]100%|██████████| 10/10 [00:26<00:00, 2.62s/it] 100%|██████████| 10/10 [00:30<00:00, 2.62s/it]100%|██████████| 10/10 [00:30<00:00, 3.02s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 30.2282, 'train_samples_per_second': 10.586, 'train_steps_per_second': 0.331, 'train_loss': 0.8043510437011718, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.60s/it] 20%|██ | 2/10 [00:04<00:18, 2.31s/it] 30%|███ | 3/10 [00:07<00:16, 2.38s/it] 40%|████ | 4/10 [00:09<00:14, 2.42s/it] 50%|█████ | 5/10 [00:11<00:11, 2.37s/it] 60%|██████ | 6/10 [00:14<00:09, 2.30s/it] 70%|███████ | 7/10 [00:16<00:06, 2.31s/it] 80%|████████ | 8/10 [00:18<00:04, 2.26s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.30s/it]100%|██████████| 10/10 [00:23<00:00, 2.30s/it] 100%|██████████| 10/10 [00:27<00:00, 2.30s/it]100%|██████████| 10/10 [00:27<00:00, 2.72s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 27.2204, 'train_samples_per_second': 11.756, 'train_steps_per_second': 0.367, 'train_loss': 0.779477882385254, 'epoch': 1.0}
>> ==================== Round 5 : [3, 4] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.38s/it] 20%|██ | 2/10 [00:05<00:23, 2.91s/it] 30%|███ | 3/10 [00:10<00:25, 3.66s/it] 40%|████ | 4/10 [00:13<00:20, 3.43s/it] 50%|█████ | 5/10 [00:15<00:15, 3.10s/it] 60%|██████ | 6/10 [00:18<00:11, 2.98s/it] 70%|███████ | 7/10 [00:21<00:08, 2.98s/it] 80%|████████ | 8/10 [00:24<00:05, 2.89s/it] 90%|█████████ | 9/10 [00:26<00:02, 2.68s/it]100%|██████████| 10/10 [00:29<00:00, 2.85s/it] 100%|██████████| 10/10 [00:30<00:00, 2.85s/it]100%|██████████| 10/10 [00:30<00:00, 3.08s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 30.779, 'train_samples_per_second': 10.397, 'train_steps_per_second': 0.325, 'train_loss': 0.8008591651916503, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.44s/it] 20%|██ | 2/10 [00:04<00:18, 2.32s/it] 30%|███ | 3/10 [00:07<00:17, 2.51s/it] 40%|████ | 4/10 [00:09<00:14, 2.46s/it] 50%|█████ | 5/10 [00:12<00:11, 2.39s/it] 60%|██████ | 6/10 [00:14<00:09, 2.35s/it] 70%|███████ | 7/10 [00:16<00:07, 2.41s/it] 80%|████████ | 8/10 [00:19<00:04, 2.36s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.71s/it]100%|██████████| 10/10 [00:25<00:00, 2.65s/it] 100%|██████████| 10/10 [00:28<00:00, 2.65s/it]100%|██████████| 10/10 [00:28<00:00, 2.85s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 28.4787, 'train_samples_per_second': 11.236, 'train_steps_per_second': 0.351, 'train_loss': 0.8188138008117676, 'epoch': 1.0}
>> ==================== Round 6 : [4, 9] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.61s/it] 20%|██ | 2/10 [00:05<00:21, 2.66s/it] 30%|███ | 3/10 [00:07<00:17, 2.51s/it] 40%|████ | 4/10 [00:10<00:14, 2.48s/it] 50%|█████ | 5/10 [00:12<00:12, 2.40s/it] 60%|██████ | 6/10 [00:14<00:09, 2.36s/it] 70%|███████ | 7/10 [00:17<00:07, 2.53s/it] 80%|████████ | 8/10 [00:20<00:05, 2.65s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.44s/it]100%|██████████| 10/10 [00:25<00:00, 2.52s/it] 100%|██████████| 10/10 [00:26<00:00, 2.52s/it]100%|██████████| 10/10 [00:26<00:00, 2.61s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 26.1386, 'train_samples_per_second': 12.242, 'train_steps_per_second': 0.383, 'train_loss': 0.8378206253051758, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:30, 3.33s/it] 20%|██ | 2/10 [00:06<00:23, 2.97s/it] 30%|███ | 3/10 [00:08<00:18, 2.66s/it] 40%|████ | 4/10 [00:10<00:15, 2.51s/it] 50%|█████ | 5/10 [00:12<00:12, 2.40s/it] 60%|██████ | 6/10 [00:16<00:11, 2.79s/it] 70%|███████ | 7/10 [00:18<00:07, 2.62s/it] 80%|████████ | 8/10 [00:21<00:05, 2.64s/it] 90%|█████████ | 9/10 [00:23<00:02, 2.50s/it]100%|██████████| 10/10 [00:26<00:00, 2.50s/it] 100%|██████████| 10/10 [00:27<00:00, 2.50s/it]100%|██████████| 10/10 [00:27<00:00, 2.71s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 27.1486, 'train_samples_per_second': 11.787, 'train_steps_per_second': 0.368, 'train_loss': 0.8665628433227539, 'epoch': 1.0}
>> ==================== Round 7 : [1, 9] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:05<00:51, 5.71s/it] 20%|██ | 2/10 [00:09<00:34, 4.33s/it] 30%|███ | 3/10 [00:11<00:24, 3.51s/it] 40%|████ | 4/10 [00:16<00:23, 3.94s/it] 50%|█████ | 5/10 [00:23<00:25, 5.06s/it] 60%|██████ | 6/10 [00:27<00:18, 4.66s/it] 70%|███████ | 7/10 [00:31<00:13, 4.44s/it] 80%|████████ | 8/10 [00:38<00:10, 5.29s/it] 90%|█████████ | 9/10 [00:42<00:04, 4.82s/it]100%|██████████| 10/10 [00:48<00:00, 5.20s/it] 100%|██████████| 10/10 [00:51<00:00, 5.20s/it]100%|██████████| 10/10 [00:51<00:00, 5.10s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 51.0435, 'train_samples_per_second': 6.269, 'train_steps_per_second': 0.196, 'train_loss': 0.8940482139587402, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:19, 2.12s/it] 20%|██ | 2/10 [00:04<00:16, 2.12s/it] 30%|███ | 3/10 [00:06<00:14, 2.14s/it] 40%|████ | 4/10 [00:08<00:13, 2.27s/it] 50%|█████ | 5/10 [00:11<00:11, 2.31s/it] 60%|██████ | 6/10 [00:13<00:09, 2.40s/it] 70%|███████ | 7/10 [00:16<00:07, 2.40s/it] 80%|████████ | 8/10 [00:18<00:04, 2.30s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.33s/it]100%|██████████| 10/10 [00:22<00:00, 2.27s/it] 100%|██████████| 10/10 [00:31<00:00, 2.27s/it]100%|██████████| 10/10 [00:31<00:00, 3.15s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 31.503, 'train_samples_per_second': 10.158, 'train_steps_per_second': 0.317, 'train_loss': 0.8312488555908203, 'epoch': 1.0}
>> ==================== Round 8 : [2, 5] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:25, 2.78s/it] 20%|██ | 2/10 [00:05<00:23, 2.93s/it] 30%|███ | 3/10 [00:08<00:19, 2.74s/it] 40%|████ | 4/10 [00:12<00:20, 3.39s/it] 50%|█████ | 5/10 [00:15<00:15, 3.13s/it] 60%|██████ | 6/10 [00:17<00:11, 2.94s/it] 70%|███████ | 7/10 [00:21<00:09, 3.15s/it] 80%|████████ | 8/10 [00:24<00:06, 3.01s/it] 90%|█████████ | 9/10 [00:26<00:02, 2.86s/it]100%|██████████| 10/10 [00:29<00:00, 2.80s/it] 100%|██████████| 10/10 [00:30<00:00, 2.80s/it]100%|██████████| 10/10 [00:30<00:00, 3.06s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 30.5831, 'train_samples_per_second': 10.463, 'train_steps_per_second': 0.327, 'train_loss': 0.8026116371154786, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:33, 3.78s/it] 20%|██ | 2/10 [00:08<00:35, 4.39s/it] 30%|███ | 3/10 [00:11<00:27, 3.91s/it] 40%|████ | 4/10 [00:15<00:23, 3.88s/it] 50%|█████ | 5/10 [00:19<00:18, 3.74s/it] 60%|██████ | 6/10 [00:23<00:15, 3.80s/it] 70%|███████ | 7/10 [00:27<00:11, 3.85s/it] 80%|████████ | 8/10 [00:31<00:08, 4.11s/it] 90%|█████████ | 9/10 [00:34<00:03, 3.73s/it]100%|██████████| 10/10 [00:38<00:00, 3.67s/it] 100%|██████████| 10/10 [00:43<00:00, 3.67s/it]100%|██████████| 10/10 [00:43<00:00, 4.33s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 43.3215, 'train_samples_per_second': 7.387, 'train_steps_per_second': 0.231, 'train_loss': 0.7956411838531494, 'epoch': 1.0}
>> ==================== Round 9 : [3, 5] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:26, 2.97s/it] 20%|██ | 2/10 [00:05<00:21, 2.68s/it] 30%|███ | 3/10 [00:07<00:17, 2.53s/it] 40%|████ | 4/10 [00:10<00:14, 2.49s/it] 50%|█████ | 5/10 [00:12<00:12, 2.43s/it] 60%|██████ | 6/10 [00:15<00:10, 2.51s/it] 70%|███████ | 7/10 [00:18<00:08, 2.81s/it] 80%|████████ | 8/10 [00:20<00:05, 2.59s/it] 90%|█████████ | 9/10 [00:23<00:02, 2.59s/it]100%|██████████| 10/10 [00:26<00:00, 2.69s/it] 100%|██████████| 10/10 [00:27<00:00, 2.69s/it]100%|██████████| 10/10 [00:27<00:00, 2.75s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 27.4931, 'train_samples_per_second': 11.639, 'train_steps_per_second': 0.364, 'train_loss': 0.7815230369567872, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:04<00:42, 4.69s/it] 20%|██ | 2/10 [00:08<00:33, 4.25s/it] 30%|███ | 3/10 [00:12<00:30, 4.29s/it] 40%|████ | 4/10 [00:16<00:23, 3.93s/it] 50%|█████ | 5/10 [00:19<00:17, 3.58s/it] 60%|██████ | 6/10 [00:22<00:13, 3.48s/it] 70%|███████ | 7/10 [00:25<00:09, 3.28s/it] 80%|████████ | 8/10 [00:28<00:06, 3.33s/it] 90%|█████████ | 9/10 [00:31<00:03, 3.23s/it]100%|██████████| 10/10 [00:35<00:00, 3.34s/it] 100%|██████████| 10/10 [00:37<00:00, 3.34s/it]100%|██████████| 10/10 [00:37<00:00, 3.74s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 37.3846, 'train_samples_per_second': 8.56, 'train_steps_per_second': 0.267, 'train_loss': 0.771384334564209, 'epoch': 1.0}
>> ==================== Round 10 : [5, 7] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:04<00:41, 4.61s/it] 20%|██ | 2/10 [00:08<00:35, 4.39s/it] 30%|███ | 3/10 [00:13<00:30, 4.30s/it] 40%|████ | 4/10 [00:16<00:23, 3.97s/it] 50%|█████ | 5/10 [00:19<00:18, 3.68s/it] 60%|██████ | 6/10 [00:24<00:16, 4.05s/it] 70%|███████ | 7/10 [00:28<00:12, 4.01s/it] 80%|████████ | 8/10 [00:31<00:07, 3.86s/it] 90%|█████████ | 9/10 [00:35<00:03, 3.74s/it]100%|██████████| 10/10 [00:38<00:00, 3.43s/it] 100%|██████████| 10/10 [00:39<00:00, 3.43s/it]100%|██████████| 10/10 [00:39<00:00, 3.92s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 39.1998, 'train_samples_per_second': 8.163, 'train_steps_per_second': 0.255, 'train_loss': 0.7510187149047851, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.44s/it] 20%|██ | 2/10 [00:05<00:21, 2.63s/it] 30%|███ | 3/10 [00:07<00:17, 2.46s/it] 40%|████ | 4/10 [00:09<00:14, 2.37s/it] 50%|█████ | 5/10 [00:11<00:11, 2.27s/it] 60%|██████ | 6/10 [00:13<00:08, 2.25s/it] 70%|███████ | 7/10 [00:16<00:06, 2.26s/it] 80%|████████ | 8/10 [00:18<00:04, 2.20s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.27s/it]100%|██████████| 10/10 [00:22<00:00, 2.21s/it] 100%|██████████| 10/10 [00:24<00:00, 2.21s/it]100%|██████████| 10/10 [00:24<00:00, 2.43s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.272, 'train_samples_per_second': 13.184, 'train_steps_per_second': 0.412, 'train_loss': 0.7712574005126953, 'epoch': 1.0}
>> ==================== Round 11 : [0, 9] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.50s/it] 20%|██ | 2/10 [00:04<00:19, 2.38s/it] 30%|███ | 3/10 [00:07<00:16, 2.34s/it] 40%|████ | 4/10 [00:09<00:14, 2.34s/it] 50%|█████ | 5/10 [00:11<00:11, 2.31s/it] 60%|██████ | 6/10 [00:14<00:09, 2.38s/it] 70%|███████ | 7/10 [00:16<00:07, 2.44s/it] 80%|████████ | 8/10 [00:18<00:04, 2.31s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.37s/it]100%|██████████| 10/10 [00:23<00:00, 2.38s/it] 100%|██████████| 10/10 [00:25<00:00, 2.38s/it]100%|██████████| 10/10 [00:25<00:00, 2.54s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 25.4519, 'train_samples_per_second': 12.573, 'train_steps_per_second': 0.393, 'train_loss': 0.7435721397399903, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.43s/it] 20%|██ | 2/10 [00:04<00:18, 2.26s/it] 30%|███ | 3/10 [00:06<00:15, 2.21s/it] 40%|████ | 4/10 [00:08<00:13, 2.22s/it] 50%|█████ | 5/10 [00:11<00:10, 2.18s/it] 60%|██████ | 6/10 [00:13<00:09, 2.25s/it] 70%|███████ | 7/10 [00:15<00:06, 2.26s/it] 80%|████████ | 8/10 [00:17<00:04, 2.25s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.35s/it]100%|██████████| 10/10 [00:22<00:00, 2.19s/it] 100%|██████████| 10/10 [00:23<00:00, 2.19s/it]100%|██████████| 10/10 [00:23<00:00, 2.35s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 23.5198, 'train_samples_per_second': 13.606, 'train_steps_per_second': 0.425, 'train_loss': 0.7441190719604492, 'epoch': 1.0}
>> ==================== Round 12 : [7, 8] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:19, 2.20s/it] 20%|██ | 2/10 [00:04<00:17, 2.15s/it] 30%|███ | 3/10 [00:06<00:16, 2.32s/it] 40%|████ | 4/10 [00:08<00:12, 2.14s/it] 50%|█████ | 5/10 [00:11<00:11, 2.30s/it] 60%|██████ | 6/10 [00:13<00:09, 2.29s/it] 70%|███████ | 7/10 [00:15<00:06, 2.19s/it] 80%|████████ | 8/10 [00:18<00:04, 2.28s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.30s/it]100%|██████████| 10/10 [00:23<00:00, 2.53s/it] 100%|██████████| 10/10 [00:24<00:00, 2.53s/it]100%|██████████| 10/10 [00:24<00:00, 2.47s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.672, 'train_samples_per_second': 12.97, 'train_steps_per_second': 0.405, 'train_loss': 0.7738502025604248, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.44s/it] 20%|██ | 2/10 [00:04<00:18, 2.32s/it] 30%|███ | 3/10 [00:07<00:16, 2.37s/it] 40%|████ | 4/10 [00:09<00:13, 2.23s/it] 50%|█████ | 5/10 [00:11<00:11, 2.38s/it] 60%|██████ | 6/10 [00:14<00:09, 2.33s/it] 70%|███████ | 7/10 [00:16<00:06, 2.31s/it] 80%|████████ | 8/10 [00:18<00:04, 2.29s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.33s/it]100%|██████████| 10/10 [00:23<00:00, 2.31s/it] 100%|██████████| 10/10 [00:29<00:00, 2.31s/it]100%|██████████| 10/10 [00:29<00:00, 2.99s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 29.9111, 'train_samples_per_second': 10.698, 'train_steps_per_second': 0.334, 'train_loss': 0.7373476028442383, 'epoch': 1.0}
>> ==================== Round 13 : [4, 7] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.34s/it] 20%|██ | 2/10 [00:05<00:23, 2.92s/it] 30%|███ | 3/10 [00:07<00:17, 2.51s/it] 40%|████ | 4/10 [00:09<00:14, 2.42s/it] 50%|█████ | 5/10 [00:12<00:12, 2.44s/it] 60%|██████ | 6/10 [00:14<00:09, 2.39s/it] 70%|███████ | 7/10 [00:17<00:07, 2.39s/it] 80%|████████ | 8/10 [00:19<00:04, 2.39s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.42s/it]100%|██████████| 10/10 [00:24<00:00, 2.49s/it] 100%|██████████| 10/10 [00:29<00:00, 2.49s/it]100%|██████████| 10/10 [00:29<00:00, 2.94s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 29.4014, 'train_samples_per_second': 10.884, 'train_steps_per_second': 0.34, 'train_loss': 0.737523889541626, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:18, 2.08s/it] 20%|██ | 2/10 [00:04<00:17, 2.24s/it] 30%|███ | 3/10 [00:06<00:16, 2.38s/it] 40%|████ | 4/10 [00:09<00:14, 2.41s/it] 50%|█████ | 5/10 [00:11<00:11, 2.37s/it] 60%|██████ | 6/10 [00:13<00:09, 2.29s/it] 70%|███████ | 7/10 [00:15<00:06, 2.22s/it] 80%|████████ | 8/10 [00:18<00:04, 2.19s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.28s/it]100%|██████████| 10/10 [00:22<00:00, 2.24s/it] 100%|██████████| 10/10 [00:23<00:00, 2.24s/it]100%|██████████| 10/10 [00:23<00:00, 2.37s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 23.7374, 'train_samples_per_second': 13.481, 'train_steps_per_second': 0.421, 'train_loss': 0.7395597457885742, 'epoch': 1.0}
>> ==================== Round 14 : [4, 9] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:29, 3.25s/it] 20%|██ | 2/10 [00:05<00:22, 2.83s/it] 30%|███ | 3/10 [00:08<00:17, 2.56s/it] 40%|████ | 4/10 [00:11<00:17, 2.87s/it] 50%|█████ | 5/10 [00:13<00:13, 2.68s/it] 60%|██████ | 6/10 [00:16<00:10, 2.56s/it] 70%|███████ | 7/10 [00:18<00:07, 2.48s/it] 80%|████████ | 8/10 [00:20<00:04, 2.41s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.29s/it]100%|██████████| 10/10 [00:26<00:00, 2.67s/it] 100%|██████████| 10/10 [00:27<00:00, 2.67s/it]100%|██████████| 10/10 [00:27<00:00, 2.73s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 27.2606, 'train_samples_per_second': 11.739, 'train_steps_per_second': 0.367, 'train_loss': 0.7179885864257812, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.63s/it] 20%|██ | 2/10 [00:04<00:17, 2.25s/it] 30%|███ | 3/10 [00:07<00:16, 2.34s/it] 40%|████ | 4/10 [00:10<00:16, 2.79s/it] 50%|█████ | 5/10 [00:12<00:12, 2.53s/it] 60%|██████ | 6/10 [00:15<00:10, 2.54s/it] 70%|███████ | 7/10 [00:17<00:07, 2.49s/it] 80%|████████ | 8/10 [00:20<00:05, 2.63s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.58s/it]100%|██████████| 10/10 [00:25<00:00, 2.49s/it] 100%|██████████| 10/10 [00:26<00:00, 2.49s/it]100%|██████████| 10/10 [00:26<00:00, 2.64s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 26.3684, 'train_samples_per_second': 12.136, 'train_steps_per_second': 0.379, 'train_loss': 0.6927800655364991, 'epoch': 1.0}
>> ==================== Round 15 : [1, 8] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:30, 3.40s/it] 20%|██ | 2/10 [00:08<00:33, 4.14s/it] 30%|███ | 3/10 [00:13<00:34, 4.94s/it] 40%|████ | 4/10 [00:17<00:27, 4.55s/it] 50%|█████ | 5/10 [00:25<00:28, 5.63s/it] 60%|██████ | 6/10 [00:32<00:24, 6.19s/it] 70%|███████ | 7/10 [00:36<00:16, 5.40s/it] 80%|████████ | 8/10 [00:41<00:10, 5.28s/it] 90%|█████████ | 9/10 [00:46<00:05, 5.22s/it]100%|██████████| 10/10 [00:49<00:00, 4.61s/it] 100%|██████████| 10/10 [00:55<00:00, 4.61s/it]100%|██████████| 10/10 [00:55<00:00, 5.51s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 55.068, 'train_samples_per_second': 5.811, 'train_steps_per_second': 0.182, 'train_loss': 0.7363453865051269, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.46s/it] 20%|██ | 2/10 [00:04<00:18, 2.36s/it] 30%|███ | 3/10 [00:06<00:15, 2.25s/it] 40%|████ | 4/10 [00:09<00:13, 2.29s/it] 50%|█████ | 5/10 [00:11<00:11, 2.38s/it] 60%|██████ | 6/10 [00:13<00:09, 2.33s/it] 70%|███████ | 7/10 [00:16<00:06, 2.29s/it] 80%|████████ | 8/10 [00:18<00:04, 2.29s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.26s/it]100%|██████████| 10/10 [00:22<00:00, 2.27s/it] 100%|██████████| 10/10 [00:24<00:00, 2.27s/it]100%|██████████| 10/10 [00:24<00:00, 2.41s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.1235, 'train_samples_per_second': 13.265, 'train_steps_per_second': 0.415, 'train_loss': 0.693364429473877, 'epoch': 1.0}
>> ==================== Round 16 : [0, 3] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.52s/it] 20%|██ | 2/10 [00:05<00:20, 2.55s/it] 30%|███ | 3/10 [00:07<00:17, 2.43s/it] 40%|████ | 4/10 [00:09<00:14, 2.37s/it] 50%|█████ | 5/10 [00:12<00:11, 2.38s/it] 60%|██████ | 6/10 [00:14<00:08, 2.23s/it] 70%|███████ | 7/10 [00:16<00:07, 2.39s/it] 80%|████████ | 8/10 [00:19<00:04, 2.42s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.35s/it]100%|██████████| 10/10 [00:23<00:00, 2.36s/it] 100%|██████████| 10/10 [00:24<00:00, 2.36s/it]100%|██████████| 10/10 [00:24<00:00, 2.49s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.9009, 'train_samples_per_second': 12.851, 'train_steps_per_second': 0.402, 'train_loss': 0.7186613559722901, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.36s/it] 20%|██ | 2/10 [00:04<00:19, 2.46s/it] 30%|███ | 3/10 [00:07<00:17, 2.57s/it] 40%|████ | 4/10 [00:09<00:14, 2.39s/it] 50%|█████ | 5/10 [00:12<00:11, 2.37s/it] 60%|██████ | 6/10 [00:14<00:10, 2.55s/it] 70%|███████ | 7/10 [00:17<00:07, 2.43s/it] 80%|████████ | 8/10 [00:19<00:04, 2.40s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.48s/it]100%|██████████| 10/10 [00:24<00:00, 2.44s/it] 100%|██████████| 10/10 [00:28<00:00, 2.44s/it]100%|██████████| 10/10 [00:28<00:00, 2.83s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 28.3325, 'train_samples_per_second': 11.294, 'train_steps_per_second': 0.353, 'train_loss': 0.7116184234619141, 'epoch': 1.0}
>> ==================== Round 17 : [5, 7] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:07<01:06, 7.42s/it] 20%|██ | 2/10 [00:12<00:49, 6.23s/it] 30%|███ | 3/10 [00:16<00:35, 5.06s/it] 40%|████ | 4/10 [00:20<00:28, 4.70s/it] 50%|█████ | 5/10 [00:24<00:22, 4.50s/it] 60%|██████ | 6/10 [00:28<00:16, 4.12s/it] 70%|███████ | 7/10 [00:32<00:12, 4.15s/it] 80%|████████ | 8/10 [00:35<00:07, 3.86s/it] 90%|█████████ | 9/10 [00:39<00:03, 3.90s/it]100%|██████████| 10/10 [00:43<00:00, 3.90s/it] 100%|██████████| 10/10 [00:46<00:00, 3.90s/it]100%|██████████| 10/10 [00:46<00:00, 4.61s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 46.0976, 'train_samples_per_second': 6.942, 'train_steps_per_second': 0.217, 'train_loss': 0.6410102844238281, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:24, 2.68s/it] 20%|██ | 2/10 [00:04<00:19, 2.43s/it] 30%|███ | 3/10 [00:07<00:16, 2.35s/it] 40%|████ | 4/10 [00:09<00:14, 2.37s/it] 50%|█████ | 5/10 [00:12<00:12, 2.50s/it] 60%|██████ | 6/10 [00:14<00:09, 2.44s/it] 70%|███████ | 7/10 [00:16<00:07, 2.40s/it] 80%|████████ | 8/10 [00:19<00:04, 2.37s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.32s/it]100%|██████████| 10/10 [00:23<00:00, 2.32s/it] 100%|██████████| 10/10 [00:28<00:00, 2.32s/it]100%|██████████| 10/10 [00:28<00:00, 2.83s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 28.2647, 'train_samples_per_second': 11.322, 'train_steps_per_second': 0.354, 'train_loss': 0.7387266635894776, 'epoch': 1.0}
>> ==================== Round 18 : [6, 8] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.59s/it] 20%|██ | 2/10 [00:04<00:19, 2.42s/it] 30%|███ | 3/10 [00:06<00:15, 2.26s/it] 40%|████ | 4/10 [00:09<00:13, 2.21s/it] 50%|█████ | 5/10 [00:11<00:10, 2.11s/it] 60%|██████ | 6/10 [00:13<00:08, 2.18s/it] 70%|███████ | 7/10 [00:15<00:06, 2.22s/it] 80%|████████ | 8/10 [00:18<00:04, 2.30s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.35s/it]100%|██████████| 10/10 [00:22<00:00, 2.35s/it] 100%|██████████| 10/10 [00:24<00:00, 2.35s/it]100%|██████████| 10/10 [00:24<00:00, 2.41s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.0778, 'train_samples_per_second': 13.29, 'train_steps_per_second': 0.415, 'train_loss': 0.7145618915557861, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.34s/it] 20%|██ | 2/10 [00:04<00:18, 2.37s/it] 30%|███ | 3/10 [00:07<00:16, 2.39s/it] 40%|████ | 4/10 [00:09<00:13, 2.33s/it] 50%|█████ | 5/10 [00:11<00:11, 2.30s/it] 60%|██████ | 6/10 [00:13<00:09, 2.31s/it] 70%|███████ | 7/10 [00:16<00:06, 2.25s/it] 80%|████████ | 8/10 [00:18<00:04, 2.26s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.34s/it]100%|██████████| 10/10 [00:23<00:00, 2.36s/it] 100%|██████████| 10/10 [00:27<00:00, 2.36s/it]100%|██████████| 10/10 [00:27<00:00, 2.70s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 27.0451, 'train_samples_per_second': 11.832, 'train_steps_per_second': 0.37, 'train_loss': 0.7088715553283691, 'epoch': 1.0}
>> ==================== Round 19 : [1, 2] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:04<00:38, 4.27s/it] 20%|██ | 2/10 [00:08<00:33, 4.23s/it] 30%|███ | 3/10 [00:12<00:28, 4.07s/it] 40%|████ | 4/10 [00:15<00:23, 3.84s/it] 50%|█████ | 5/10 [00:21<00:22, 4.46s/it] 60%|██████ | 6/10 [00:27<00:20, 5.02s/it] 70%|███████ | 7/10 [00:31<00:14, 4.80s/it] 80%|████████ | 8/10 [00:34<00:08, 4.11s/it] 90%|█████████ | 9/10 [00:40<00:04, 4.78s/it]100%|██████████| 10/10 [00:46<00:00, 5.03s/it] 100%|██████████| 10/10 [00:47<00:00, 5.03s/it]100%|██████████| 10/10 [00:47<00:00, 4.78s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 47.8032, 'train_samples_per_second': 6.694, 'train_steps_per_second': 0.209, 'train_loss': 0.6906615734100342, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:25, 2.82s/it] 20%|██ | 2/10 [00:05<00:21, 2.72s/it] 30%|███ | 3/10 [00:08<00:19, 2.80s/it] 40%|████ | 4/10 [00:10<00:16, 2.67s/it] 50%|█████ | 5/10 [00:13<00:13, 2.67s/it] 60%|██████ | 6/10 [00:15<00:10, 2.50s/it] 70%|███████ | 7/10 [00:18<00:08, 2.76s/it] 80%|████████ | 8/10 [00:21<00:05, 2.63s/it] 90%|█████████ | 9/10 [00:24<00:02, 2.74s/it]100%|██████████| 10/10 [00:27<00:00, 2.79s/it] 100%|██████████| 10/10 [00:28<00:00, 2.79s/it]100%|██████████| 10/10 [00:28<00:00, 2.83s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 28.3198, 'train_samples_per_second': 11.3, 'train_steps_per_second': 0.353, 'train_loss': 0.7124131202697754, 'epoch': 1.0}
>> ==================== Round 20 : [0, 8] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.66s/it] 20%|██ | 2/10 [00:04<00:19, 2.46s/it] 30%|███ | 3/10 [00:07<00:17, 2.47s/it] 40%|████ | 4/10 [00:09<00:14, 2.43s/it] 50%|█████ | 5/10 [00:12<00:11, 2.37s/it] 60%|██████ | 6/10 [00:14<00:09, 2.34s/it] 70%|███████ | 7/10 [00:17<00:07, 2.46s/it] 80%|████████ | 8/10 [00:19<00:04, 2.42s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.38s/it]100%|██████████| 10/10 [00:23<00:00, 2.34s/it] 100%|██████████| 10/10 [00:25<00:00, 2.34s/it]100%|██████████| 10/10 [00:25<00:00, 2.52s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 25.1579, 'train_samples_per_second': 12.72, 'train_steps_per_second': 0.397, 'train_loss': 0.7002784252166748, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.45s/it] 20%|██ | 2/10 [00:04<00:18, 2.37s/it] 30%|███ | 3/10 [00:07<00:16, 2.33s/it] 40%|████ | 4/10 [00:09<00:14, 2.39s/it] 50%|█████ | 5/10 [00:11<00:11, 2.34s/it] 60%|██████ | 6/10 [00:14<00:09, 2.32s/it] 70%|███████ | 7/10 [00:15<00:06, 2.18s/it] 80%|████████ | 8/10 [00:18<00:04, 2.14s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.18s/it]100%|██████████| 10/10 [00:22<00:00, 2.23s/it] 100%|██████████| 10/10 [00:23<00:00, 2.23s/it]100%|██████████| 10/10 [00:23<00:00, 2.37s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 23.7003, 'train_samples_per_second': 13.502, 'train_steps_per_second': 0.422, 'train_loss': 0.6984961032867432, 'epoch': 1.0}
>> ==================== Round 21 : [2, 4] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:24, 2.71s/it] 20%|██ | 2/10 [00:05<00:21, 2.67s/it] 30%|███ | 3/10 [00:07<00:17, 2.48s/it] 40%|████ | 4/10 [00:10<00:16, 2.71s/it] 50%|█████ | 5/10 [00:13<00:14, 2.81s/it] 60%|██████ | 6/10 [00:15<00:10, 2.65s/it] 70%|███████ | 7/10 [00:18<00:07, 2.51s/it] 80%|████████ | 8/10 [00:20<00:04, 2.45s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.39s/it]100%|██████████| 10/10 [00:25<00:00, 2.41s/it] 100%|██████████| 10/10 [00:26<00:00, 2.41s/it]100%|██████████| 10/10 [00:26<00:00, 2.63s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 26.346, 'train_samples_per_second': 12.146, 'train_steps_per_second': 0.38, 'train_loss': 0.6750624656677247, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.28s/it] 20%|██ | 2/10 [00:04<00:18, 2.26s/it] 30%|███ | 3/10 [00:06<00:15, 2.24s/it] 40%|████ | 4/10 [00:09<00:14, 2.34s/it] 50%|█████ | 5/10 [00:11<00:11, 2.34s/it] 60%|██████ | 6/10 [00:14<00:09, 2.47s/it] 70%|███████ | 7/10 [00:16<00:07, 2.47s/it] 80%|████████ | 8/10 [00:19<00:05, 2.50s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.61s/it]100%|██████████| 10/10 [00:24<00:00, 2.47s/it] 100%|██████████| 10/10 [00:25<00:00, 2.47s/it]100%|██████████| 10/10 [00:25<00:00, 2.55s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 25.5378, 'train_samples_per_second': 12.53, 'train_steps_per_second': 0.392, 'train_loss': 0.6830188751220703, 'epoch': 1.0}
>> ==================== Round 22 : [2, 6] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:27, 3.07s/it] 20%|██ | 2/10 [00:05<00:23, 2.89s/it] 30%|███ | 3/10 [00:08<00:18, 2.70s/it] 40%|████ | 4/10 [00:10<00:16, 2.70s/it] 50%|█████ | 5/10 [00:13<00:13, 2.62s/it] 60%|██████ | 6/10 [00:15<00:10, 2.58s/it] 70%|███████ | 7/10 [00:18<00:07, 2.53s/it] 80%|████████ | 8/10 [00:20<00:04, 2.41s/it] 90%|█████████ | 9/10 [00:22<00:02, 2.38s/it]100%|██████████| 10/10 [00:25<00:00, 2.36s/it] 100%|██████████| 10/10 [00:32<00:00, 2.36s/it]100%|██████████| 10/10 [00:32<00:00, 3.27s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 32.7217, 'train_samples_per_second': 9.779, 'train_steps_per_second': 0.306, 'train_loss': 0.6968467712402344, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.51s/it] 20%|██ | 2/10 [00:05<00:20, 2.51s/it] 30%|███ | 3/10 [00:07<00:16, 2.32s/it] 40%|████ | 4/10 [00:09<00:14, 2.38s/it] 50%|█████ | 5/10 [00:11<00:11, 2.37s/it] 60%|██████ | 6/10 [00:14<00:09, 2.41s/it] 70%|███████ | 7/10 [00:16<00:07, 2.39s/it] 80%|████████ | 8/10 [00:19<00:04, 2.46s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.46s/it]100%|██████████| 10/10 [00:24<00:00, 2.44s/it] 100%|██████████| 10/10 [00:25<00:00, 2.44s/it]100%|██████████| 10/10 [00:25<00:00, 2.54s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 25.4016, 'train_samples_per_second': 12.598, 'train_steps_per_second': 0.394, 'train_loss': 0.6969879627227783, 'epoch': 1.0}
>> ==================== Round 23 : [2, 3] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.43s/it] 20%|██ | 2/10 [00:04<00:18, 2.34s/it] 30%|███ | 3/10 [00:07<00:17, 2.48s/it] 40%|████ | 4/10 [00:09<00:14, 2.41s/it] 50%|█████ | 5/10 [00:12<00:12, 2.46s/it] 60%|██████ | 6/10 [00:15<00:10, 2.64s/it] 70%|███████ | 7/10 [00:19<00:09, 3.14s/it] 80%|████████ | 8/10 [00:22<00:06, 3.00s/it] 90%|█████████ | 9/10 [00:24<00:02, 2.91s/it]100%|██████████| 10/10 [00:27<00:00, 2.86s/it] 100%|██████████| 10/10 [00:28<00:00, 2.86s/it]100%|██████████| 10/10 [00:28<00:00, 2.87s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 28.7195, 'train_samples_per_second': 11.142, 'train_steps_per_second': 0.348, 'train_loss': 0.661377239227295, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.32s/it] 20%|██ | 2/10 [00:04<00:20, 2.50s/it] 30%|███ | 3/10 [00:08<00:22, 3.15s/it] 40%|████ | 4/10 [00:11<00:17, 2.84s/it] 50%|█████ | 5/10 [00:14<00:14, 2.82s/it] 60%|██████ | 6/10 [00:16<00:10, 2.66s/it] 70%|███████ | 7/10 [00:18<00:07, 2.63s/it] 80%|████████ | 8/10 [00:21<00:05, 2.64s/it] 90%|█████████ | 9/10 [00:25<00:03, 3.01s/it]100%|██████████| 10/10 [00:29<00:00, 3.22s/it] 100%|██████████| 10/10 [00:30<00:00, 3.22s/it]100%|██████████| 10/10 [00:30<00:00, 3.03s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 30.2713, 'train_samples_per_second': 10.571, 'train_steps_per_second': 0.33, 'train_loss': 0.6746403694152832, 'epoch': 1.0}
>> ==================== Round 24 : [1, 4] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:04<00:39, 4.43s/it] 20%|██ | 2/10 [00:09<00:39, 4.90s/it] 30%|███ | 3/10 [00:15<00:37, 5.35s/it] 40%|████ | 4/10 [00:19<00:28, 4.74s/it] 50%|█████ | 5/10 [00:24<00:23, 4.78s/it] 60%|██████ | 6/10 [00:28<00:18, 4.66s/it] 70%|███████ | 7/10 [00:31<00:12, 4.13s/it] 80%|████████ | 8/10 [00:36<00:08, 4.35s/it] 90%|█████████ | 9/10 [00:40<00:04, 4.26s/it]100%|██████████| 10/10 [00:45<00:00, 4.56s/it] 100%|██████████| 10/10 [00:46<00:00, 4.56s/it]100%|██████████| 10/10 [00:46<00:00, 4.69s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 46.9097, 'train_samples_per_second': 6.822, 'train_steps_per_second': 0.213, 'train_loss': 0.7148560523986817, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.59s/it] 20%|██ | 2/10 [00:04<00:19, 2.42s/it] 30%|███ | 3/10 [00:07<00:16, 2.38s/it] 40%|████ | 4/10 [00:09<00:14, 2.46s/it] 50%|█████ | 5/10 [00:12<00:12, 2.52s/it] 60%|██████ | 6/10 [00:14<00:09, 2.49s/it] 70%|███████ | 7/10 [00:18<00:08, 2.73s/it] 80%|████████ | 8/10 [00:20<00:05, 2.63s/it] 90%|█████████ | 9/10 [00:24<00:02, 2.94s/it]100%|██████████| 10/10 [00:27<00:00, 3.19s/it] 100%|██████████| 10/10 [00:30<00:00, 3.19s/it]100%|██████████| 10/10 [00:30<00:00, 3.01s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 30.1443, 'train_samples_per_second': 10.616, 'train_steps_per_second': 0.332, 'train_loss': 0.6894575119018554, 'epoch': 1.0}
>> ==================== Round 25 : [2, 6] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:31, 3.52s/it] 20%|██ | 2/10 [00:06<00:24, 3.02s/it] 30%|███ | 3/10 [00:08<00:18, 2.70s/it] 40%|████ | 4/10 [00:11<00:16, 2.78s/it] 50%|█████ | 5/10 [00:14<00:13, 2.79s/it] 60%|██████ | 6/10 [00:16<00:11, 2.78s/it] 70%|███████ | 7/10 [00:20<00:08, 2.87s/it] 80%|████████ | 8/10 [00:22<00:05, 2.69s/it] 90%|█████████ | 9/10 [00:25<00:02, 2.75s/it]100%|██████████| 10/10 [00:28<00:00, 2.87s/it] 100%|██████████| 10/10 [00:36<00:00, 2.87s/it]100%|██████████| 10/10 [00:36<00:00, 3.65s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 36.4692, 'train_samples_per_second': 8.775, 'train_steps_per_second': 0.274, 'train_loss': 0.6620042800903321, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.57s/it] 20%|██ | 2/10 [00:05<00:20, 2.58s/it] 30%|███ | 3/10 [00:07<00:17, 2.48s/it] 40%|████ | 4/10 [00:09<00:14, 2.42s/it] 50%|█████ | 5/10 [00:11<00:11, 2.31s/it] 60%|██████ | 6/10 [00:14<00:09, 2.26s/it] 70%|███████ | 7/10 [00:16<00:06, 2.26s/it] 80%|████████ | 8/10 [00:19<00:04, 2.40s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.37s/it]100%|██████████| 10/10 [00:23<00:00, 2.30s/it] 100%|██████████| 10/10 [00:24<00:00, 2.30s/it]100%|██████████| 10/10 [00:24<00:00, 2.46s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.6546, 'train_samples_per_second': 12.979, 'train_steps_per_second': 0.406, 'train_loss': 0.6754628181457519, 'epoch': 1.0}
>> ==================== Round 26 : [0, 6] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.45s/it] 20%|██ | 2/10 [00:04<00:18, 2.37s/it] 30%|███ | 3/10 [00:07<00:16, 2.42s/it] 40%|████ | 4/10 [00:09<00:13, 2.31s/it] 50%|█████ | 5/10 [00:11<00:11, 2.29s/it] 60%|██████ | 6/10 [00:13<00:09, 2.31s/it] 70%|███████ | 7/10 [00:16<00:06, 2.32s/it] 80%|████████ | 8/10 [00:18<00:04, 2.18s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.28s/it]100%|██████████| 10/10 [00:23<00:00, 2.29s/it] 100%|██████████| 10/10 [00:24<00:00, 2.29s/it]100%|██████████| 10/10 [00:24<00:00, 2.45s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.5027, 'train_samples_per_second': 13.06, 'train_steps_per_second': 0.408, 'train_loss': 0.6990056037902832, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:22, 2.45s/it] 20%|██ | 2/10 [00:04<00:18, 2.28s/it] 30%|███ | 3/10 [00:06<00:15, 2.19s/it] 40%|████ | 4/10 [00:09<00:13, 2.30s/it] 50%|█████ | 5/10 [00:11<00:11, 2.22s/it] 60%|██████ | 6/10 [00:13<00:09, 2.32s/it] 70%|███████ | 7/10 [00:15<00:06, 2.27s/it] 80%|████████ | 8/10 [00:18<00:04, 2.35s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.41s/it]100%|██████████| 10/10 [00:23<00:00, 2.44s/it] 100%|██████████| 10/10 [00:24<00:00, 2.44s/it]100%|██████████| 10/10 [00:24<00:00, 2.46s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.6357, 'train_samples_per_second': 12.989, 'train_steps_per_second': 0.406, 'train_loss': 0.699827003479004, 'epoch': 1.0}
>> ==================== Round 27 : [3, 9] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:33, 3.75s/it] 20%|██ | 2/10 [00:06<00:24, 3.03s/it] 30%|███ | 3/10 [00:08<00:18, 2.69s/it] 40%|████ | 4/10 [00:11<00:16, 2.68s/it] 50%|█████ | 5/10 [00:13<00:12, 2.54s/it] 60%|██████ | 6/10 [00:16<00:11, 2.78s/it] 70%|███████ | 7/10 [00:19<00:08, 2.84s/it] 80%|████████ | 8/10 [00:23<00:06, 3.07s/it] 90%|█████████ | 9/10 [00:26<00:03, 3.04s/it]100%|██████████| 10/10 [00:28<00:00, 2.84s/it] 100%|██████████| 10/10 [00:32<00:00, 2.84s/it]100%|██████████| 10/10 [00:32<00:00, 3.24s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 32.4132, 'train_samples_per_second': 9.873, 'train_steps_per_second': 0.309, 'train_loss': 0.6360467433929443, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:19, 2.18s/it] 20%|██ | 2/10 [00:04<00:17, 2.20s/it] 30%|███ | 3/10 [00:06<00:16, 2.37s/it] 40%|████ | 4/10 [00:09<00:14, 2.37s/it] 50%|█████ | 5/10 [00:11<00:11, 2.35s/it] 60%|██████ | 6/10 [00:13<00:09, 2.34s/it] 70%|███████ | 7/10 [00:16<00:06, 2.28s/it] 80%|████████ | 8/10 [00:18<00:04, 2.34s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.26s/it]100%|██████████| 10/10 [00:24<00:00, 2.60s/it] 100%|██████████| 10/10 [00:25<00:00, 2.60s/it]100%|██████████| 10/10 [00:25<00:00, 2.51s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 25.1148, 'train_samples_per_second': 12.741, 'train_steps_per_second': 0.398, 'train_loss': 0.6698736190795899, 'epoch': 1.0}
>> ==================== Round 28 : [4, 7] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:21, 2.39s/it] 20%|██ | 2/10 [00:05<00:22, 2.83s/it] 30%|███ | 3/10 [00:07<00:18, 2.63s/it] 40%|████ | 4/10 [00:10<00:14, 2.49s/it] 50%|█████ | 5/10 [00:12<00:12, 2.53s/it] 60%|██████ | 6/10 [00:15<00:09, 2.49s/it] 70%|███████ | 7/10 [00:17<00:07, 2.40s/it] 80%|████████ | 8/10 [00:20<00:05, 2.66s/it] 90%|█████████ | 9/10 [00:23<00:02, 2.58s/it]100%|██████████| 10/10 [00:25<00:00, 2.52s/it] 100%|██████████| 10/10 [00:26<00:00, 2.52s/it]100%|██████████| 10/10 [00:26<00:00, 2.67s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 26.6641, 'train_samples_per_second': 12.001, 'train_steps_per_second': 0.375, 'train_loss': 0.6962413787841797, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.25s/it] 20%|██ | 2/10 [00:05<00:20, 2.62s/it] 30%|███ | 3/10 [00:07<00:17, 2.47s/it] 40%|████ | 4/10 [00:09<00:14, 2.37s/it] 50%|█████ | 5/10 [00:11<00:11, 2.25s/it] 60%|██████ | 6/10 [00:13<00:08, 2.16s/it] 70%|███████ | 7/10 [00:15<00:06, 2.22s/it] 80%|████████ | 8/10 [00:18<00:04, 2.21s/it] 90%|█████████ | 9/10 [00:20<00:02, 2.34s/it]100%|██████████| 10/10 [00:23<00:00, 2.38s/it] 100%|██████████| 10/10 [00:24<00:00, 2.38s/it]100%|██████████| 10/10 [00:24<00:00, 2.44s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 24.3559, 'train_samples_per_second': 13.139, 'train_steps_per_second': 0.411, 'train_loss': 0.6938957691192627, 'epoch': 1.0}
>> ==================== Round 29 : [1, 2] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:32, 3.62s/it] 20%|██ | 2/10 [00:06<00:27, 3.41s/it] 30%|███ | 3/10 [00:10<00:25, 3.71s/it] 40%|████ | 4/10 [00:14<00:21, 3.66s/it] 50%|█████ | 5/10 [00:20<00:22, 4.53s/it] 60%|██████ | 6/10 [00:24<00:16, 4.16s/it] 70%|███████ | 7/10 [00:29<00:13, 4.60s/it] 80%|████████ | 8/10 [00:32<00:08, 4.12s/it] 90%|█████████ | 9/10 [00:35<00:03, 3.64s/it]100%|██████████| 10/10 [00:43<00:00, 5.18s/it] 100%|██████████| 10/10 [00:45<00:00, 5.18s/it]100%|██████████| 10/10 [00:45<00:00, 4.58s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 45.7908, 'train_samples_per_second': 6.988, 'train_steps_per_second': 0.218, 'train_loss': 0.752071762084961, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.30s/it] 20%|██ | 2/10 [00:05<00:21, 2.63s/it] 30%|███ | 3/10 [00:07<00:17, 2.52s/it] 40%|████ | 4/10 [00:10<00:15, 2.56s/it] 50%|█████ | 5/10 [00:12<00:13, 2.65s/it] 60%|██████ | 6/10 [00:15<00:10, 2.53s/it] 70%|███████ | 7/10 [00:17<00:07, 2.43s/it] 80%|████████ | 8/10 [00:20<00:05, 2.57s/it] 90%|█████████ | 9/10 [00:23<00:02, 2.59s/it]100%|██████████| 10/10 [00:25<00:00, 2.70s/it] 100%|██████████| 10/10 [00:27<00:00, 2.70s/it]100%|██████████| 10/10 [00:27<00:00, 2.71s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 27.1096, 'train_samples_per_second': 11.804, 'train_steps_per_second': 0.369, 'train_loss': 0.6904573917388916, 'epoch': 1.0}
>> ==================== Round 30 : [1, 8] ====================
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:05<00:47, 5.25s/it] 20%|██ | 2/10 [00:08<00:32, 4.08s/it] 30%|███ | 3/10 [00:13<00:32, 4.65s/it] 40%|████ | 4/10 [00:20<00:31, 5.29s/it] 50%|█████ | 5/10 [00:25<00:26, 5.28s/it] 60%|██████ | 6/10 [00:29<00:19, 4.97s/it] 70%|███████ | 7/10 [00:34<00:14, 4.85s/it] 80%|████████ | 8/10 [00:38<00:09, 4.56s/it] 90%|█████████ | 9/10 [00:41<00:04, 4.22s/it]100%|██████████| 10/10 [00:50<00:00, 5.75s/it] 100%|██████████| 10/10 [00:53<00:00, 5.75s/it]100%|██████████| 10/10 [00:53<00:00, 5.38s/it]
WARNING:root:Formatting inputs...
WARNING:root:Tokenizing inputs... This may take some time...
WARNING:accelerate.utils.other:Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
max_steps is given, it will override any value given in num_train_epochs
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 320 | Num Epochs = 1
O^O/ \_/ \ Batch size per device = 16 | Gradient Accumulation steps = 2
\ / Total batch size = 32 | Total steps = 10
"-____-" Number of trainable parameters = 41,943,040
{'train_runtime': 53.8051, 'train_samples_per_second': 5.947, 'train_steps_per_second': 0.186, 'train_loss': 0.6663963794708252, 'epoch': 1.0}
0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:23, 2.60s/it] 20%|██ | 2/10 [00:04<00:18, 2.37s/it] 30%|███ | 3/10 [00:07<00:16, 2.37s/it] 40%|████ | 4/10 [00:09<00:13, 2.32s/it] 50%|█████ | 5/10 [00:11<00:11, 2.40s/it] 60%|██████ | 6/10 [00:14<00:09, 2.35s/it] 70%|███████ | 7/10 [00:16<00:07, 2.42s/it] 80%|████████ | 8/10 [00:19<00:05, 2.55s/it] 90%|█████████ | 9/10 [00:21<00:02, 2.47s/it]100%|██████████| 10/10 [00:24<00:00, 2.45s/it] 100%|██████████| 10/10 [00:28<00:00, 2.45s/it]100%|██████████| 10/10 [00:28<00:00, 2.85s/it]
{'train_runtime': 28.4962, 'train_samples_per_second': 11.23, 'train_steps_per_second': 0.351, 'train_loss': 0.655310869216919, 'epoch': 1.0}