End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5269
-- Precision: 0.8478
-- Recall: 0.8448
-- F1: 0.8453
-- Accuracy: 0.8448
+- Loss: 0.5377
+- Precision: 0.8306
+- Recall: 0.8272
+- F1: 0.8274
+- Accuracy: 0.8272
 
 ## Model description
 
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 100
-- eval_batch_size: 100
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -53,6 +53,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.0119        | 2.2222 | 100  | 0.6056          | 0.8215    | 0.8131 | 0.8129 | 0.8131   |
+| 0.229         | 4.4444 | 200  | 0.5377          | 0.8306    | 0.8272 | 0.8274 | 0.8272   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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