End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - glue
+metrics:
+- accuracy
 model-index:
 - name: t5-base_cola_densedense_baseline
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: cola
+      split: validation
+      args: cola
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.835091083413231
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-base_cola_densedense_baseline
 
 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: 0.5187
+- Accuracy: 0.8351
 
 ## Model description
 
@@ -46,10 +64,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 20
-- num_epochs: 1
+- num_epochs: 8
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5117        | 1.49  | 50   | 0.5002          | 0.7977   |
+| 0.3559        | 2.99  | 100  | 0.4575          | 0.8207   |
+| 0.3103        | 4.48  | 150  | 0.4466          | 0.8255   |
+| 0.2928        | 5.97  | 200  | 0.5051          | 0.8303   |
+| 0.2085        | 7.46  | 250  | 0.5187          | 0.8351   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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