Training in progress, step 10000

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4f2c140277a126adaf94a4ff57bc59e9d833a37a9fcadd60e6bd949d38b3a13
-size 11654
+oid sha256:58545e99fc4de28fc1d84ee55fad65bc5abec17b058b35f01806620ee03be36d
+size 12399

log.txt

@@ -766,5 +766,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [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 '
+
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+[INFO|trainer.py:3664] 2024-06-05 05:59:06,112 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 05:59:06,112 >>   Batch size = 48
+{'eval_loss': 2.413153886795044, 'eval_accuracy': 0.5747236146216096, 'eval_runtime': 73.9, 'eval_samples_per_second': 24.899, 'eval_steps_per_second': 0.528, 'epoch': 2.38}
+{'loss': 2.2626, 'grad_norm': 6.743342876434326, 'learning_rate': 1.7103059155426253e-05, 'epoch': 2.51}
+{'loss': 2.2669, 'grad_norm': 9.461324691772461, 'learning_rate': 1.2463053958620433e-05, 'epoch': 2.64}
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                                               [INFO|trainer.py:3353] 2024-06-05 06:00:19,705 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-10000
+[INFO|configuration_utils.py:471] 2024-06-05 06:00:19,721 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-10000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 06:00:19,727 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-10000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 06:00:20,790 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-10000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 06:00:20,807 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-10000/tokenizer_config.json
+[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 '

model.safetensors

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