End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0205
+- Loss: 0.0110
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 4
-- eval_batch_size: 4
+- eval_batch_size: 1
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.5277        | 1.0   | 718  | 0.0260          |
-| 0.0329        | 2.0   | 1436 | 0.0219          |
-| 0.0265        | 3.0   | 2154 | 0.0205          |
+| 0.4942        | 1.0   | 650  | 0.0147          |
+| 0.0331        | 2.0   | 1300 | 0.0122          |
+| 0.0313        | 3.0   | 1950 | 0.0110          |
 
 
 ### Framework versions