End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ryantaw/bert-small-finetuned](https://huggingface.co/ryantaw/bert-small-finetuned) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8577
-- Accuracy: 0.6846
-- F1 Score: 0.6854
+- Loss: 0.6962
+- Accuracy: 0.7358
+- F1 Score: 0.7334
 
 ## Model description
 
@@ -39,27 +39,37 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 86
+- eval_batch_size: 86
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 186  | 0.8402          | 0.6577   | 0.6553   |
-| No log        | 2.0   | 372  | 0.8577          | 0.6846   | 0.6854   |
-| 0.7061        | 3.0   | 558  | 0.9049          | 0.6415   | 0.6367   |
-| 0.7061        | 4.0   | 744  | 0.9252          | 0.6631   | 0.6625   |
-| 0.7061        | 5.0   | 930  | 1.0010          | 0.6685   | 0.6670   |
-| 0.3613        | 6.0   | 1116 | 1.1754          | 0.6199   | 0.6130   |
-| 0.3613        | 7.0   | 1302 | 1.2138          | 0.6604   | 0.6592   |
-| 0.3613        | 8.0   | 1488 | 1.3055          | 0.6604   | 0.6583   |
-| 0.1426        | 9.0   | 1674 | 1.3710          | 0.6523   | 0.6495   |
-| 0.1426        | 10.0  | 1860 | 1.3899          | 0.6550   | 0.6529   |
+| No log        | 1.0   | 18   | 0.6962          | 0.7358   | 0.7334   |
+| No log        | 2.0   | 36   | 0.7131          | 0.7197   | 0.7187   |
+| No log        | 3.0   | 54   | 0.7094          | 0.7170   | 0.7171   |
+| No log        | 4.0   | 72   | 0.7098          | 0.7170   | 0.7160   |
+| No log        | 5.0   | 90   | 0.7446          | 0.7143   | 0.7120   |
+| No log        | 6.0   | 108  | 0.7464          | 0.7008   | 0.6986   |
+| No log        | 7.0   | 126  | 0.7771          | 0.6981   | 0.6912   |
+| No log        | 8.0   | 144  | 0.7748          | 0.7008   | 0.7005   |
+| No log        | 9.0   | 162  | 0.7806          | 0.7197   | 0.7209   |
+| No log        | 10.0  | 180  | 0.7835          | 0.7089   | 0.7061   |
+| No log        | 11.0  | 198  | 0.8341          | 0.7035   | 0.6970   |
+| No log        | 12.0  | 216  | 0.8166          | 0.7116   | 0.7122   |
+| No log        | 13.0  | 234  | 0.8369          | 0.7062   | 0.7053   |
+| No log        | 14.0  | 252  | 0.8367          | 0.7008   | 0.6982   |
+| No log        | 15.0  | 270  | 0.9065          | 0.6846   | 0.6783   |
+| No log        | 16.0  | 288  | 0.8928          | 0.6873   | 0.6851   |
+| No log        | 17.0  | 306  | 0.8936          | 0.6900   | 0.6870   |
+| No log        | 18.0  | 324  | 0.8881          | 0.6981   | 0.6960   |
+| No log        | 19.0  | 342  | 0.8974          | 0.6819   | 0.6789   |
+| No log        | 20.0  | 360  | 0.8964          | 0.6819   | 0.6784   |
 
 
 ### Framework versions

model.safetensors

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 size 115071152

runs/Nov09_09-10-32_6665d88e9b9d/events.out.tfevents.1699521032.6665d88e9b9d.586.2

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