End of training

README.md

@@ -3,6 +3,9 @@ license: mit
 base_model: prajjwal1/bert-medium
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
 model-index:
 - name: bert_medium_Goodreads_Books_Reviews
   results: []
@@ -13,7 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_medium_Goodreads_Books_Reviews
 
-This model is a fine-tuned version of [prajjwal1/bert-medium](https://huggingface.co/prajjwal1/bert-medium) on an unknown dataset.
+This model is a fine-tuned version of [prajjwal1/bert-medium](https://huggingface.co/prajjwal1/bert-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8175
+- F1: 0.6058
+- Accuracy: 0.6523
 
 ## Model description
 
@@ -41,6 +48,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 1000
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
+| 0.8393        | 1.0   | 12657 | 0.8355          | 0.5960 | 0.6430   |
+| 0.7965        | 2.0   | 25314 | 0.8175          | 0.6058 | 0.6523   |
+
+
 ### Framework versions
 
 - Transformers 4.38.1