End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8961
-- Accuracy: 0.8440
+- Loss: 0.9390
+- Accuracy: 0.8431
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5043        | 1.0   | 1135 | 0.4526          | 0.8219   |
-| 0.3772        | 2.0   | 2270 | 0.5948          | 0.8316   |
-| 0.2714        | 3.0   | 3405 | 0.6854          | 0.8409   |
-| 0.1757        | 4.0   | 4540 | 0.8270          | 0.8422   |
-| 0.0911        | 5.0   | 5675 | 0.8961          | 0.8440   |
+| 0.4989        | 1.0   | 1135 | 0.6014          | 0.8109   |
+| 0.3582        | 2.0   | 2270 | 0.4748          | 0.8352   |
+| 0.2795        | 3.0   | 3405 | 0.7906          | 0.8427   |
+| 0.156         | 4.0   | 4540 | 0.8115          | 0.8400   |
+| 0.0785        | 5.0   | 5675 | 0.9390          | 0.8431   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
 - Tokenizers 0.15.0

model.safetensors

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