Training in progress, step 7000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:782f24a7376ac7b777b86761a827d2e4ed3a03f87d5ee23653ddecbc9da91f22
-size 9419
+oid sha256:2aa7cd9f2ad0da66a2ba444eafadf9c02968af1586c8bb64f2b53bcf192f04a2
+size 10164

log.txt

@@ -592,5 +592,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [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 '
+
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+[INFO|trainer.py:3664] 2024-06-05 05:06:41,717 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 05:06:41,717 >>   Batch size = 48
+{'eval_loss': 2.4896483421325684, 'eval_accuracy': 0.5662889488328625, 'eval_runtime': 73.8595, 'eval_samples_per_second': 24.912, 'eval_steps_per_second': 0.528, 'epoch': 1.59}
+{'loss': 2.3797, 'grad_norm': 7.714890956878662, 'learning_rate': 4.4943090336261176e-05, 'epoch': 1.72}
+{'loss': 2.374, 'grad_norm': 7.321514129638672, 'learning_rate': 4.030308513945535e-05, 'epoch': 1.85}
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                                               [INFO|trainer.py:3353] 2024-06-05 05:07:55,005 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-7000
+[INFO|configuration_utils.py:471] 2024-06-05 05:07:55,025 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-7000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 05:07:55,030 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-7000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 05:07:55,933 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-7000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 05:07:55,948 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-7000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 05:07:55,953 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-7000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 05:07:58,377 >> 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 05:07:58,382 >> 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 272123144