End of training

README.md

@@ -16,9 +16,9 @@ model-index:
     dataset:
       name: glue
       type: glue
-      config: rte
+      config: cola
       split: validation
-      args: rte
+      args: cola
     metrics:
     - name: Accuracy
       type: accuracy
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8364
+- Loss: 4.9143
 - Accuracy: 0.0
 
 ## Model description
@@ -65,14 +65,31 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6981        | 0.32  | 25   | 0.6973          | 0.4657   |
-| 0.6818        | 0.64  | 50   | 0.6864          | 0.4910   |
-| 0.6578        | 0.96  | 75   | 0.6036          | 0.6968   |
-| 0.5986        | 1.28  | 100  | 0.5675          | 0.7292   |
-| 0.5756        | 1.6   | 125  | 0.5968          | 0.7076   |
-| 0.4797        | 1.92  | 150  | 0.5562          | 0.7401   |
-| 0.463         | 2.24  | 175  | 0.6183          | 0.7220   |
-| 0.4034        | 2.56  | 200  | 0.5857          | 0.7726   |
+| 0.5646        | 0.09  | 25   | 0.6556          | 0.6913   |
+| 0.6392        | 0.19  | 50   | 0.5933          | 0.6913   |
+| 0.5668        | 0.28  | 75   | 0.5673          | 0.6913   |
+| 0.4777        | 0.37  | 100  | 0.5130          | 0.7872   |
+| 0.4982        | 0.47  | 125  | 0.5462          | 0.7987   |
+| 0.515         | 0.56  | 150  | 0.4918          | 0.8025   |
+| 0.5279        | 0.65  | 175  | 0.4923          | 0.7900   |
+| 0.4246        | 0.75  | 200  | 0.5310          | 0.7958   |
+| 0.4437        | 0.84  | 225  | 0.4455          | 0.8159   |
+| 0.4251        | 0.93  | 250  | 0.4847          | 0.8111   |
+| 0.2875        | 1.03  | 275  | 0.5152          | 0.8102   |
+| 0.3736        | 1.12  | 300  | 0.5038          | 0.8130   |
+| 0.3489        | 1.21  | 325  | 0.4612          | 0.8159   |
+| 0.3729        | 1.31  | 350  | 0.5098          | 0.8102   |
+| 0.3574        | 1.4   | 375  | 0.5389          | 0.8121   |
+| 0.3897        | 1.49  | 400  | 0.4788          | 0.8130   |
+| 0.3785        | 1.59  | 425  | 0.4827          | 0.8150   |
+| 0.4429        | 1.68  | 450  | 0.5501          | 0.8063   |
+| 0.3893        | 1.77  | 475  | 0.4393          | 0.8245   |
+| 0.3531        | 1.87  | 500  | 0.4769          | 0.8255   |
+| 0.3853        | 1.96  | 525  | 0.4711          | 0.8284   |
+| 0.3173        | 2.05  | 550  | 0.5262          | 0.8226   |
+| 0.3102        | 2.15  | 575  | 0.5084          | 0.8284   |
+| 0.3236        | 2.24  | 600  | 0.5517          | 0.8293   |
+| 0.2618        | 2.33  | 625  | 0.5825          | 0.8322   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f358e7e60c74caa8579deb8adc39645cf2287d02169d03a2c35bc148dd7dfd9
+oid sha256:709e7fc9fb90760185e5d8934a44b208b33915592d0e5fd3ad16b098d6b2410c
 size 894094241