End of training

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
+license: mit
+base_model: roberta-base
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+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: 0.2363
-- Accuracy: 0.9308
+- Loss: 0.1924
+- Accuracy: 0.9529
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.225         | 1.0   | 1563 | 0.1971          | 0.9240   |
-| 0.1461        | 2.0   | 3126 | 0.2363          | 0.9308   |
+| 0.198         | 1.0   | 1563 | 0.1405          | 0.9501   |
+| 0.1304        | 2.0   | 3126 | 0.1924          | 0.9529   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb30c9b713f92564bbd8a81cc0a3a34a6dcda9d5a2ad4deb91aa6c814767e8d7
+oid sha256:d21fb4d0257b552462b7402fac9ea1e39f194abcdd62d219ff2628fc2be74659
 size 498612824