End of training

README.md

@@ -17,8 +17,8 @@ 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: 1.0713
-- Accuracy: 0.8
+- Loss: 0.5632
+- Accuracy: 0.9038
 
 ## Model description
 
@@ -49,17 +49,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5863        | 1.0   | 53   | 0.4392          | 0.8      |
-| 0.4309        | 2.0   | 106  | 0.2701          | 0.8667   |
-| 0.2365        | 3.0   | 159  | 0.3916          | 0.8667   |
-| 0.0959        | 4.0   | 212  | 0.4507          | 0.8889   |
-| 0.0755        | 5.0   | 265  | 0.6764          | 0.8667   |
-| 0.0756        | 6.0   | 318  | 1.0713          | 0.8      |
+| 1.2987        | 1.0   | 121  | 1.1291          | 0.6058   |
+| 0.6602        | 2.0   | 242  | 0.8249          | 0.75     |
+| 0.4545        | 3.0   | 363  | 0.4199          | 0.8942   |
+| 0.2338        | 4.0   | 484  | 0.5669          | 0.9038   |
+| 0.083         | 5.0   | 605  | 0.5672          | 0.9038   |
+| 0.0057        | 6.0   | 726  | 0.5632          | 0.9038   |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
-- Pytorch 2.0.1+cu117
-- Datasets 2.14.5
-- Tokenizers 0.13.3
+- Transformers 4.36.2
+- Pytorch 2.0.0
+- Datasets 2.16.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d46d16e80b61a1b367fc2d898c3e197e737274966d2f6ce4ead88cd9ec449496
 size 498622052