Model save

README.md

@@ -12,7 +12,7 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jsphd/week10_tutorial_llm_BERT/runs/rqe9a5ia)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jsphd/week10_tutorial_llm_BERT/runs/u4klp2p1)
 # bert-base-cased-finetuned-health-qa
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
@@ -34,15 +34,15 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 0.001
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
-- gradient_accumulation_steps: 32
+- gradient_accumulation_steps: 16
 - total_train_batch_size: 1024
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 
 ### Framework versions