Model save

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: bert-base-cased
+license: mit
+base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
@@ -13,13 +13,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_trainer
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.6302
-- eval_accuracy: 0.7386
-- eval_runtime: 66.8469
-- eval_samples_per_second: 29.934
-- eval_steps_per_second: 1.885
+- eval_loss: 0.7351
+- eval_accuracy: 0.7076
+- eval_runtime: 63.312
+- eval_samples_per_second: 31.605
+- eval_steps_per_second: 1.99
 - step: 0
 
 ## Model description
@@ -39,15 +39,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 32
-- total_train_batch_size: 512
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Framework versions