End of training

README.md

@@ -17,9 +17,9 @@ 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: 1.7072
-- Bleu: 9.729
-- Gen Len: 11.652
+- Loss: 1.7031
+- Bleu: 9.8723
+- Gen Len: 11.9854
 
 ## Model description
 
@@ -45,18 +45,19 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 257  | 1.8002          | 7.7932 | 12.0107 |
-| 2.1579        | 2.0   | 514  | 1.7072          | 9.729  | 11.652  |
+| No log        | 1.0   | 257  | 1.7984          | 7.8291 | 12.1959 |
+| 2.1707        | 2.0   | 514  | 1.7031          | 9.8723 | 11.9854 |
 
 
 ### Framework versions
 
 - Transformers 4.38.1
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

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