Training in progress, step 5000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f63f26a256b3570c83606c59563d06f2d9615a7f09a1a12872bd9a200f4f699f
-size 7929
+oid sha256:50b58a6f3dec95cfa47fed37b7e73eacdee7df7c1b9b3276a0326c52396f4e3b
+size 8674

log.txt

@@ -476,5 +476,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [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 '
+
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+[INFO|trainer.py:3664] 2024-06-05 04:31:43,716 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 04:31:43,716 >>   Batch size = 48
+{'eval_loss': 2.5735702514648438, 'eval_accuracy': 0.5582058048894458, 'eval_runtime': 73.5253, 'eval_samples_per_second': 25.025, 'eval_steps_per_second': 0.53, 'epoch': 1.06}
+{'loss': 2.4542, 'grad_norm': 2.178349018096924, 'learning_rate': 6.350311112348446e-05, 'epoch': 1.19}
+{'loss': 2.4335, 'grad_norm': 2.944026470184326, 'learning_rate': 5.886310592667864e-05, 'epoch': 1.32}
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                                               [INFO|trainer.py:3353] 2024-06-05 04:32:57,487 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-5000
+[INFO|configuration_utils.py:471] 2024-06-05 04:32:57,505 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-5000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 04:32:57,510 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-5000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 04:32:58,402 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-5000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 04:32:58,416 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-5000/tokenizer_config.json
+[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 '

model.safetensors

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