Update model

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Saphbn/distilroberta-base-finetuned-tweets-fullsample](https://huggingface.co/Saphbn/distilroberta-base-finetuned-tweets-fullsample) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0192
+- Loss: 2.0715
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.2067        | 1.0   | 715  | 2.0572          |
-| 2.1905        | 2.0   | 1430 | 2.0542          |
-| 2.1651        | 3.0   | 2145 | 2.0192          |
+| 2.2514        | 1.0   | 715  | 2.0865          |
+| 2.224         | 2.0   | 1430 | 2.0729          |
+| 2.2193        | 3.0   | 2145 | 2.0715          |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
+- Transformers 4.38.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:624ec6226673e0e436d2576eeb6b3cc69d4337b01cc3890018cf684f43ce4450
 size 328693404