Model save

README.md

@@ -4,6 +4,8 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: saved_model_trial_9
   results: []
@@ -16,7 +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: 5.8833
+- Loss: 4.4455
+- Exact Match: 31.4607
+- F1: 0.3958
 
 ## Model description
 
@@ -35,19 +39,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4.879957028894552e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 3.338177248512558e-05
+- 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
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 1    | 5.8833          |
+| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
+| No log        | 1.0   | 8    | 5.2961          | 17.9775     | 3.9016 |
+| No log        | 2.0   | 16   | 4.6305          | 11.2360     | 3.9679 |
+| No log        | 3.0   | 24   | 4.4455          | 31.4607     | 0.3958 |
 
 
 ### Framework versions