Model save

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: distilroberta-base
 tags:
 - generated_from_trainer
-base_model: distilroberta-base
 metrics:
 - f1
 model-index:
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5631
+- Loss: 0.5630
 - F1: 0.9992
 
 ## Model description
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5654        | 1.0   | 161  | 0.5633          | 0.9992 |
-| 0.5644        | 2.0   | 322  | 0.5631          | 0.9992 |
-| 0.5635        | 3.0   | 483  | 0.5631          | 0.9992 |
+| 0.5645        | 1.0   | 161  | 0.5647          | 0.9977 |
+| 0.5636        | 2.0   | 322  | 0.5629          | 0.9992 |
+| 0.5635        | 3.0   | 483  | 0.5630          | 0.9992 |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9ef57959066d5b2fa8927841a744bc16c1251088f5027436b6a25712c4d2109
+oid sha256:a9520888749d97ff7f6d98fdb887169f3e6262228158aac851b1741412057012
 size 328492280