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/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 10.4578
+- Loss: 0.1906
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 5
-- eval_batch_size: 5
+- train_batch_size: 10
+- eval_batch_size: 10
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -45,11 +45,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 18.9688       | 1.0   | 16   | 11.7121         |
-| 17.0706       | 2.0   | 32   | 10.7868         |
-| 15.6808       | 3.0   | 48   | 10.4578         |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3851        | 1.0   | 8000  | 0.2447          |
+| 0.2421        | 2.0   | 16000 | 0.2063          |
+| 0.2089        | 3.0   | 24000 | 0.1906          |
 
 
 ### Framework versions