End of training

README.md

@@ -5,7 +5,7 @@ base_model: t5-small
 tags:
 - generated_from_trainer
 metrics:
-- matthews_correlation
+- accuracy
 model-index:
 - name: t5-sst2
   results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5772
-- Matthews Correlation: 0.1494
+- Loss: 0.2725
+- Accuracy: 0.9014
 
 ## Model description
 
@@ -48,13 +48,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| No log        | 1.0   | 268  | 0.6116          | 0.0                  |
-| 0.6166        | 2.0   | 536  | 0.6026          | 0.0                  |
-| 0.6166        | 3.0   | 804  | 0.5865          | 0.0                  |
-| 0.5827        | 4.0   | 1072 | 0.5814          | 0.1230               |
-| 0.5827        | 5.0   | 1340 | 0.5772          | 0.1494               |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2778        | 1.0   | 2105  | 0.2721          | 0.8899   |
+| 0.2401        | 2.0   | 4210  | 0.2660          | 0.8979   |
+| 0.2173        | 3.0   | 6315  | 0.2661          | 0.8956   |
+| 0.2081        | 4.0   | 8420  | 0.2701          | 0.8979   |
+| 0.2123        | 5.0   | 10525 | 0.2725          | 0.9014   |
 
 
 ### Framework versions

runs/Oct25_04-03-59_4e9b76f6a14e/events.out.tfevents.1729830233.4e9b76f6a14e.30.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee1d25674eb5c329999e37bacf36c1f1b46ee0da2036eebd7127e719b6b6eaaf
+size 411