End of training

README.md

@@ -18,10 +18,10 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4438
+- Loss: 0.0504
 - F1: 0.0
 - Roc Auc: 0.5
-- Accuracy: 0.88
+- Accuracy: 0.96
 
 ## Model description
 
@@ -41,24 +41,32 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1  | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
-| No log        | 1.0   | 7    | 0.4625          | 0.0 | 0.5     | 0.88     |
-| No log        | 2.0   | 14   | 0.4438          | 0.0 | 0.5     | 0.88     |
+| No log        | 1.0   | 35   | 0.3812          | 0.0 | 0.5     | 0.96     |
+| No log        | 2.0   | 70   | 0.2404          | 0.0 | 0.5     | 0.96     |
+| No log        | 3.0   | 105  | 0.1566          | 0.0 | 0.5     | 0.96     |
+| No log        | 4.0   | 140  | 0.1087          | 0.0 | 0.5     | 0.96     |
+| No log        | 5.0   | 175  | 0.0822          | 0.0 | 0.5     | 0.96     |
+| No log        | 6.0   | 210  | 0.0674          | 0.0 | 0.5     | 0.96     |
+| No log        | 7.0   | 245  | 0.0588          | 0.0 | 0.5     | 0.96     |
+| No log        | 8.0   | 280  | 0.0539          | 0.0 | 0.5     | 0.96     |
+| No log        | 9.0   | 315  | 0.0512          | 0.0 | 0.5     | 0.96     |
+| No log        | 10.0  | 350  | 0.0504          | 0.0 | 0.5     | 0.96     |
 
 
 ### Framework versions
 
-- Transformers 4.35.1
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0