Training in progress, step 9000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:481987cf68d79956e193c2a7a5dd216236b94d5ce76fc790712812158fd518a8
-size 10909
+oid sha256:f4f2c140277a126adaf94a4ff57bc59e9d833a37a9fcadd60e6bd949d38b3a13
+size 11654

log.txt

@@ -708,5 +708,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 05:25:26,075 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-8000/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2503] 2024-06-05 05:25:28,317 >> 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 05:25:28,321 >> 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 05:41:44,279 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 05:41:44,279 >>   Batch size = 48
+{'eval_loss': 2.4485366344451904, 'eval_accuracy': 0.5701761326225017, 'eval_runtime': 73.4687, 'eval_samples_per_second': 25.045, 'eval_steps_per_second': 0.531, 'epoch': 2.12}
+{'loss': 2.2922, 'grad_norm': 6.3735737800598145, 'learning_rate': 2.6383069549037897e-05, 'epoch': 2.25}
+{'loss': 2.2873, 'grad_norm': 19.310932159423828, 'learning_rate': 2.1743064352232075e-05, 'epoch': 2.38}
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                                               [INFO|trainer.py:3353] 2024-06-05 05:42:58,175 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-9000
+[INFO|configuration_utils.py:471] 2024-06-05 05:42:58,193 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-9000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 05:42:58,199 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-9000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 05:42:59,066 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-9000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 05:42:59,077 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-9000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 05:42:59,081 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-9000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 05:43:01,392 >> 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 05:43:01,396 >> 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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