Training in progress, step 6000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50b58a6f3dec95cfa47fed37b7e73eacdee7df7c1b9b3276a0326c52396f4e3b
-size 8674
+oid sha256:782f24a7376ac7b777b86761a827d2e4ed3a03f87d5ee23653ddecbc9da91f22
+size 9419

log.txt

@@ -534,5 +534,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 04:32:58,420 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-5000/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2503] 2024-06-05 04:33:00,651 >> 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 04:33:00,656 >> 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 04:49:12,466 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 04:49:12,466 >>   Batch size = 48
+{'eval_loss': 2.5335800647735596, 'eval_accuracy': 0.5617462458316518, 'eval_runtime': 73.7726, 'eval_samples_per_second': 24.941, 'eval_steps_per_second': 0.529, 'epoch': 1.32}
+{'loss': 2.4012, 'grad_norm': 3.0737102031707764, 'learning_rate': 5.422310072987282e-05, 'epoch': 1.45}
+{'loss': 2.3858, 'grad_norm': 3.8758912086486816, 'learning_rate': 4.9583095533066995e-05, 'epoch': 1.59}
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                                               [INFO|trainer.py:3353] 2024-06-05 04:50:26,323 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-6000
+[INFO|configuration_utils.py:471] 2024-06-05 04:50:26,340 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-6000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 04:50:26,345 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-6000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 04:50:27,227 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-6000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 04:50:27,238 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-6000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 04:50:27,242 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-6000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 04:50:29,389 >> 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 04:50:29,393 >> 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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