End of training

README.md

@@ -16,7 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0385
+- Loss: 8.7163
+- Mse: 0.0707
 
 ## Model description
 
@@ -35,28 +36,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 8e-07
+- learning_rate: 2e-06
 - train_batch_size: 24
 - eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.0642        | 1.0   | 285  | 0.0566          |
-| 0.0512        | 2.0   | 570  | 0.0466          |
-| 0.0436        | 3.0   | 855  | 0.0411          |
-| 0.0395        | 4.0   | 1140 | 0.0391          |
-| 0.0387        | 5.0   | 1425 | 0.0385          |
+| Training Loss | Epoch | Step | Validation Loss | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 15.8927       | 1.0   | 77   | 13.5560         | 0.1302 |
+| 13.8221       | 2.0   | 154  | 12.0384         | 0.1015 |
+| 12.247        | 3.0   | 231  | 10.4189         | 0.0757 |
+| 10.6189       | 4.0   | 308  | 9.3825          | 0.0658 |
+| 9.8026        | 5.0   | 385  | 9.0555          | 0.0682 |
+| 9.3381        | 6.0   | 462  | 8.8972          | 0.0705 |
+| 9.0607        | 7.0   | 539  | 8.8197          | 0.0716 |
+| 8.9678        | 8.0   | 616  | 8.7420          | 0.0705 |
+| 8.866         | 9.0   | 693  | 8.6984          | 0.0703 |
+| 8.8032        | 10.0  | 770  | 8.7163          | 0.0707 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Datasets 3.0.0
 - Tokenizers 0.19.1

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