End of training

README.md

@@ -15,7 +15,7 @@ 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: 5.6043
+- Loss: 0.5089
 
 ## Model description
 
@@ -35,20 +35,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 15   | 8.6839          |
-| No log        | 2.0   | 30   | 6.3697          |
-| No log        | 3.0   | 45   | 5.6043          |
+| No log        | 1.0   | 29   | 5.5132          |
+| No log        | 2.0   | 58   | 1.4226          |
+| No log        | 3.0   | 87   | 0.8634          |
+| No log        | 4.0   | 116  | 0.6091          |
+| No log        | 5.0   | 145  | 0.5688          |
+| No log        | 6.0   | 174  | 0.5448          |
+| No log        | 7.0   | 203  | 0.5282          |
+| No log        | 8.0   | 232  | 0.5177          |
+| No log        | 9.0   | 261  | 0.5109          |
+| No log        | 10.0  | 290  | 0.5089          |
 
 
 ### Framework versions