Training in progress, step 4000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac14ec6deebd6971c24181112c9041dd4c22928c7f6d2594d9ab4e0e86d42c16
-size 7184
+oid sha256:f63f26a256b3570c83606c59563d06f2d9615a7f09a1a12872bd9a200f4f699f
+size 7929

log.txt

@@ -418,5 +418,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [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 '
+
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+[INFO|trainer.py:3664] 2024-06-05 04:14:10,942 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 04:14:10,942 >>   Batch size = 48
+{'eval_loss': 2.657219886779785, 'eval_accuracy': 0.5497897240925214, 'eval_runtime': 72.9553, 'eval_samples_per_second': 25.221, 'eval_steps_per_second': 0.535, 'epoch': 0.79}
+{'loss': 2.5642, 'grad_norm': 2.0297396183013916, 'learning_rate': 7.278312151709609e-05, 'epoch': 0.93}
+{'loss': 2.4734, 'grad_norm': 2.8318285942077637, 'learning_rate': 6.814311632029027e-05, 'epoch': 1.06}
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                                               [INFO|trainer.py:3353] 2024-06-05 04:15:24,466 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-4000
+[INFO|configuration_utils.py:471] 2024-06-05 04:15:24,481 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-4000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 04:15:24,486 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-4000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 04:15:25,381 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-4000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 04:15:25,394 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-4000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 04:15:25,399 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-4000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 04:15:28,074 >> 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 04:15:28,079 >> 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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