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: 5.9576
-- Exact Match: 20.2247
-- F1: 6.5951
+- Loss: 5.9685
+- Exact Match: 17.9775
+- F1: 5.3481
 
 ## Model description
 
@@ -39,9 +39,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5.946053958514189e-06
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 6.091765812519654e-06
+- train_batch_size: 32
+- eval_batch_size: 32
 - 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
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
-| No log        | 1.0   | 11   | 5.9749          | 23.5955     | 4.7458 |
-| No log        | 2.0   | 22   | 5.9576          | 20.2247     | 6.5951 |
+| No log        | 1.0   | 6    | 5.9763          | 20.2247     | 5.0606 |
+| No log        | 2.0   | 12   | 5.9685          | 17.9775     | 5.3481 |
 
 
 ### Framework versions