End of training

README.md

@@ -6,7 +6,6 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
-- f1
 model-index:
 - name: BertClassificationTest
   results: []
@@ -19,9 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4151
-- Accuracy: 0.8553
-- F1: 0.5075
+- Loss: 0.5371
+- Accuracy: 0.8558
 
 ## Model description
 
@@ -46,10 +44,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - 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: 3
+- num_epochs: 10
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 65   | 0.4451          | 0.8462   |
+| No log        | 2.0   | 130  | 0.4713          | 0.8462   |
+| No log        | 3.0   | 195  | 0.4581          | 0.8558   |
+| No log        | 4.0   | 260  | 0.5371          | 0.8558   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 437958648