End of training

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: 0.2989
+- Loss: 0.6953
 
 ## Model description
 
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 0.4657        | 1.0   | 3749  | 0.4377          |
-| 0.6627        | 2.0   | 7498  | 0.6735          |
-| 0.4577        | 3.0   | 11247 | 0.5359          |
-| 0.3058        | 4.0   | 14996 | 0.4099          |
-| 0.2336        | 5.0   | 18745 | 0.2989          |
+| 0.6766        | 1.0   | 9262  | 0.6953          |
+| 0.5606        | 2.0   | 18524 | 1.2068          |
+| 0.6303        | 3.0   | 27786 | 1.1559          |
+| 0.6968        | 4.0   | 37048 | 1.1901          |
+| 0.6866        | 5.0   | 46310 | 1.2193          |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.0+cu121
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Transformers 4.37.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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