update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 0.3516
+      value: 0.8381
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,9 +31,9 @@ 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 the opus_books dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5666
-- Bleu: 0.3516
-- Gen Len: 17.5125
+- Loss: 3.5905
+- Bleu: 0.8381
+- Gen Len: 17.1601
 
 ## Model description
 
@@ -59,19 +59,18 @@ 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   | 71   | 3.6524          | 0.3601 | 17.5089 |
-| No log        | 2.0   | 142  | 3.5666          | 0.3516 | 17.5125 |
+| No log        | 1.0   | 71   | 3.6818          | 0.8636 | 17.0356 |
+| No log        | 2.0   | 142  | 3.5905          | 0.8381 | 17.1601 |
 
 
 ### Framework versions
 
-- Transformers 4.29.2
+- Transformers 4.30.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3