Training in progress, step 3000

events.out.tfevents.1717581940.isl-gpu3.8841.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68e3ee8bcea270939114ddd962f913c51419ffcd95f399dc31439454d3663f54
-size 6439
+oid sha256:ac14ec6deebd6971c24181112c9041dd4c22928c7f6d2594d9ab4e0e86d42c16
+size 7184

log.txt

@@ -360,5 +360,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 03:40:33,185 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2503] 2024-06-05 03:40:35,542 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 03:40:35,546 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/special_tokens_map.json
+/home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '
+
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+[INFO|trainer.py:3664] 2024-06-05 03:56:41,141 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 03:56:41,141 >>   Batch size = 48
+{'eval_loss': 2.821384906768799, 'eval_accuracy': 0.5365118094348038, 'eval_runtime': 72.8065, 'eval_samples_per_second': 25.272, 'eval_steps_per_second': 0.536, 'epoch': 0.53}
+{'loss': 2.686, 'grad_norm': 1.4154396057128906, 'learning_rate': 8.206313191070773e-05, 'epoch': 0.66}
+{'loss': 2.607, 'grad_norm': 1.821349024772644, 'learning_rate': 7.742312671390191e-05, 'epoch': 0.79}
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                                               [INFO|trainer.py:3353] 2024-06-05 03:57:54,095 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-3000
+[INFO|configuration_utils.py:471] 2024-06-05 03:57:54,113 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-3000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 03:57:54,118 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-3000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 03:57:55,031 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-3000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 03:57:55,045 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-3000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 03:57:55,050 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-3000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 03:57:57,286 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 03:57:57,291 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/special_tokens_map.json
 /home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
   warnings.warn('Was asked to gather along dimension 0, but all '

model.safetensors

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