Training complete

README.md

@@ -5,6 +5,8 @@ base_model: t5-small
 tags:
 - simplification
 - generated_from_trainer
+metrics:
+- bleu
 model-index:
 - name: mbart-neutralization
   results: []
@@ -16,6 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 # mbart-neutralization
 
 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: 0.1563
+- Bleu: 53.022
+- Gen Len: 18.5417
 
 ## Model description
 
@@ -42,9 +48,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 440  | 0.2031          | 53.022 | 18.5417 |
+| 0.2886        | 2.0   | 880  | 0.1563          | 53.022 | 18.5417 |
+
+
 ### Framework versions
 
 - Transformers 4.51.2
-- Pytorch 2.10.0+cpu
+- Pytorch 2.10.0+cu128
 - Datasets 4.0.0
 - Tokenizers 0.21.4

generation_config.json

@@ -1,5 +1,4 @@
 {
-  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,