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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6177
-- Accuracy: 0.6833
+- Loss: 0.6254
+- Accuracy: 0.6768
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6845        | 1.0   | 461  | 0.6513          | 0.6334   |
-| 0.6419        | 2.0   | 922  | 0.6294          | 0.6551   |
-| 0.6103        | 3.0   | 1383 | 0.6159          | 0.6811   |
-| 0.5811        | 4.0   | 1844 | 0.6154          | 0.6941   |
-| 0.5658        | 5.0   | 2305 | 0.6177          | 0.6833   |
+| 0.689         | 1.0   | 461  | 0.6607          | 0.6269   |
+| 0.6471        | 2.0   | 922  | 0.6379          | 0.6486   |
+| 0.6125        | 3.0   | 1383 | 0.6207          | 0.6594   |
+| 0.5813        | 4.0   | 1844 | 0.6269          | 0.6746   |
+| 0.5634        | 5.0   | 2305 | 0.6254          | 0.6768   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0b55576ff685c122b8aa934f6c25ce51756d063ad0caba0275b30096b72ad4d5
+oid sha256:ac417e494b24619cbf6f5cab8f694f6ea9fde3bdac92fcef4f36e60b65e2b555
 size 498612824