Training in progress, step 11000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58545e99fc4de28fc1d84ee55fad65bc5abec17b058b35f01806620ee03be36d
-size 12399
+oid sha256:ab8de856a1f961632671784314fe7bc2dec61ad2339a407fa3cb8f457b4d34c9
+size 13144

log.txt

@@ -824,5 +824,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 06:00:20,811 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-10000/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2503] 2024-06-05 06:00:23,526 >> 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 06:00:23,531 >> 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 06:16:27,878 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 06:16:27,878 >>   Batch size = 48
+{'eval_loss': 2.387904167175293, 'eval_accuracy': 0.5778246532571526, 'eval_runtime': 73.5959, 'eval_samples_per_second': 25.001, 'eval_steps_per_second': 0.53, 'epoch': 2.64}
+{'loss': 2.2557, 'grad_norm': 10.6486234664917, 'learning_rate': 7.823048761814613e-06, 'epoch': 2.78}
+{'loss': 2.2463, 'grad_norm': 8.470663070678711, 'learning_rate': 3.183043565008793e-06, 'epoch': 2.91}
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                                               [INFO|trainer.py:3353] 2024-06-05 06:17:41,444 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-11000
+[INFO|configuration_utils.py:471] 2024-06-05 06:17:41,460 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-11000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 06:17:41,465 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-11000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 06:17:42,365 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-11000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 06:17:42,380 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-11000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 06:17:42,386 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-11000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 06:17:44,758 >> 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 06:17:44,763 >> 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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