Model save

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0213
-- Exact Match: 44.4444
-- F1: 1.7083
+- Loss: 3.4886
+- Exact Match: 48.3146
+- F1: 0.0
 
 ## Model description
 
@@ -39,22 +39,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.5332970769957623e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2.356216203001653e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
-| No log        | 1.0   | 65   | 4.2204          | 35.7143     | 2.1694 |
-| No log        | 2.0   | 130  | 3.2852          | 44.8413     | 0.0    |
-| No log        | 3.0   | 195  | 3.0833          | 44.8413     | 0.0    |
-| 4.0131        | 4.0   | 260  | 3.0213          | 44.4444     | 1.7083 |
+| No log        | 1.0   | 16   | 4.9292          | 38.2022     | 2.9401 |
+| No log        | 2.0   | 32   | 4.1936          | 48.3146     | 1.1609 |
+| No log        | 3.0   | 48   | 3.8582          | 48.3146     | 0.0    |
+| No log        | 4.0   | 64   | 3.6638          | 48.3146     | 0.8232 |
+| No log        | 5.0   | 80   | 3.4886          | 48.3146     | 0.0    |
 
 
 ### Framework versions