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: 1.7454
+- Loss: 1.6561
 
 ## Model description
 
@@ -41,22 +41,27 @@ 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: 300
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.0953        | 1.0   | 638  | 1.7533          |
-| 1.5883        | 2.0   | 1276 | 1.7634          |
-| 1.8087        | 3.0   | 1914 | 1.7753          |
-| 1.613         | 4.0   | 2552 | 1.7514          |
-| 1.6691        | 5.0   | 3190 | 1.7454          |
+| 2.0481        | 1.0   | 638  | 1.7660          |
+| 1.3097        | 2.0   | 1276 | 1.6561          |
+| 1.3712        | 3.0   | 1914 | 1.6632          |
+| 1.7868        | 4.0   | 2552 | 1.6640          |
+| 1.3863        | 5.0   | 3190 | 1.7156          |
+| 1.488         | 6.0   | 3828 | 1.7067          |
+| 1.4615        | 7.0   | 4466 | 1.7098          |
+| 1.853         | 8.0   | 5104 | 1.7113          |
+| 1.574         | 9.0   | 5742 | 1.7162          |
+| 2.0823        | 10.0  | 6380 | 1.7148          |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
+- Transformers 4.38.0.dev0
 - Pytorch 2.1.2+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d7ccdaf5bcff27f1f65758fbc25ef05d1e7ab077afcc2980f6c4c31185143046
+oid sha256:5922cc7c950757957d81df9e8942992d80940e2520ce7c8e13a8dd02fec6d03b
 size 498652812