Model save

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3934
+- Loss: 0.4367
 
 ## Model description
 
@@ -41,18 +41,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6389        | 1.0   | 579  | 0.5691          |
-| 0.4856        | 2.0   | 1158 | 0.4436          |
-| 0.3324        | 3.0   | 1737 | 0.3934          |
-| 0.2259        | 4.0   | 2316 | 0.4446          |
-| 0.1627        | 5.0   | 2895 | 0.4475          |
+| 0.648         | 1.0   | 579  | 0.5886          |
+| 0.4947        | 2.0   | 1158 | 0.4537          |
+| 0.345         | 3.0   | 1737 | 0.4367          |
 
 
 ### Framework versions

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model.safetensors

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