End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2178
-- Bleu Score: 78.7502
+- Bleu Score: 78.7261
 - Gen Len: 12.7826
 
 ## Model description
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
-| 0.4635        | 1.0   | 419  | 0.2255          | 77.2861    | 12.7969 |
-| 0.166         | 2.0   | 838  | 0.2026          | 78.3051    | 12.8041 |
-| 0.0752        | 3.0   | 1257 | 0.2178          | 78.7502    | 12.7826 |
+| 0.4635        | 1.0   | 419  | 0.2255          | 77.2678    | 12.7969 |
+| 0.166         | 2.0   | 838  | 0.2026          | 78.2851    | 12.8041 |
+| 0.0752        | 3.0   | 1257 | 0.2178          | 78.7261    | 12.7826 |
 
 
 ### Framework versions
 
-- Transformers 4.45.0
+- Transformers 4.45.1
 - Pytorch 2.4.1+cu121
-- Datasets 3.0.0
+- Datasets 3.0.1
 - Tokenizers 0.20.0

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.45.0"
+  "transformers_version": "4.45.1"
 }

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