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 [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6998
-- F1: 0.7966
+- Loss: 0.7049
+- F1: 0.8082
 
 ## Model description
 
@@ -39,20 +39,27 @@ More information needed
 The following hyperparameters were used during training:
 - 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.4134        | 1.0   | 1076 | 0.8534          | 0.7559 |
+| 0.7309        | 2.0   | 2152 | 0.7049          | 0.7934 |
+| 0.5277        | 3.0   | 3228 | 0.6788          | 0.8081 |
+| 0.3819        | 4.0   | 4304 | 0.6843          | 0.8078 |
+| 0.2865        | 5.0   | 5380 | 0.7049          | 0.8082 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
+- Transformers 4.43.0
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1