End of training

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.9694
+- Loss: 7.7544
 
 ## Model description
 
@@ -32,23 +32,38 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.1
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 500
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 14.7772       | 0.06  | 100  | 8.6683          |
-| 9.1925        | 0.12  | 200  | 9.1429          |
-| 8.6946        | 0.19  | 300  | 10.0975         |
-| 8.3986        | 0.25  | 400  | 8.3313          |
-| 8.0251        | 0.31  | 500  | 7.9694          |
+| No log        | 0.02  | 50   | 9.3840          |
+| 9.3687        | 0.03  | 100  | 8.6014          |
+| 9.3687        | 0.05  | 150  | 8.2440          |
+| 8.0254        | 0.06  | 200  | 8.0843          |
+| 8.0254        | 0.08  | 250  | 8.0234          |
+| 7.8649        | 0.09  | 300  | 7.9828          |
+| 7.8649        | 0.11  | 350  | 7.9550          |
+| 7.732         | 0.12  | 400  | 7.9101          |
+| 7.732         | 0.14  | 450  | 7.8946          |
+| 7.6192        | 0.15  | 500  | 7.8525          |
+| 7.6192        | 0.17  | 550  | 7.8461          |
+| 7.6378        | 0.18  | 600  | 7.8285          |
+| 7.6378        | 0.2   | 650  | 7.8182          |
+| 7.6338        | 0.22  | 700  | 7.7917          |
+| 7.6338        | 0.23  | 750  | nan             |
+| 7.5994        | 0.25  | 800  | 7.7837          |
+| 7.5994        | 0.26  | 850  | 7.7596          |
+| 7.5323        | 0.28  | 900  | 7.7634          |
+| 7.5323        | 0.29  | 950  | 7.7750          |
+| 7.5914        | 0.31  | 1000 | 7.7544          |
 
 
 ### Framework versions