Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8943
-- Precision: 0.1154
-- Recall: 0.3333
-- F1: 0.1715
-- Accuracy: 0.3463
+- Loss: 0.9682
+- Precision: 0.7600
+- Recall: 0.7429
+- F1: 0.7400
+- Accuracy: 0.7588
 
 ## Model description
 
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.0428        | 1.0   | 87097 | 2.8943          | 0.1154    | 0.3333 | 0.1715 | 0.3463   |
+| 0.3719        | 1.0   | 10888 | 0.9682          | 0.7600    | 0.7429 | 0.7400 | 0.7588   |
 
 
 ### Framework versions
 
 - Transformers 4.41.2
-- Pytorch 2.1.2
-- Datasets 2.19.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1