Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6663
-- F1: 0.8090
+- Loss: 0.6748
+- F1: 0.8262
 
 ## Model description
 
@@ -37,22 +37,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 2e-05
 - train_batch_size: 32
-- eval_batch_size: 8
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 600
-- num_epochs: 3.0
+- num_epochs: 5.0
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.2213        | 1.0   | 1076 | 0.7617          | 0.7825 |
+| 0.6795        | 2.0   | 2152 | 0.6679          | 0.8069 |
+| 0.4878        | 3.0   | 3228 | 0.6416          | 0.8185 |
+| 0.339         | 4.0   | 4304 | 0.6522          | 0.8263 |
+| 0.226         | 5.0   | 5380 | 0.6748          | 0.8262 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
+- Transformers 4.43.1
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1