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_0
   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: 1.2784
+- Loss: 2.9073
+- Exact Match: 42.4603
+- F1: 4.6917
 
 ## Model description
 
@@ -35,23 +39,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.4264150037585327e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 1.8299324141754886e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - 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: 5
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.1108        | 1.0   | 402  | 1.9462          |
-| 1.6381        | 2.0   | 804  | 1.4885          |
-| 1.3775        | 3.0   | 1206 | 1.3802          |
-| 1.2159        | 4.0   | 1608 | 1.3033          |
-| 1.1228        | 5.0   | 2010 | 1.2784          |
+| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
+| No log        | 1.0   | 65   | 3.8357          | 40.8730     | 3.0176 |
+| No log        | 2.0   | 130  | 3.1247          | 44.4444     | 0.0    |
+| No log        | 3.0   | 195  | 2.9332          | 43.2540     | 3.6763 |
+| 3.6864        | 4.0   | 260  | 2.9073          | 42.4603     | 4.6917 |
 
 
 ### Framework versions