Training complete

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google-t5/t5-small
+base_model: google-t5/t5-base
 tags:
 - simplification
 - generated_from_trainer
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5-neutralization
 
-This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1686
-- Bleu: 53.022
-- Gen Len: 18.5417
+- Loss: 0.0245
+- Bleu: 54.8996
+- Gen Len: 18.7604
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 440  | 0.1988          | 53.022 | 18.5417 |
-| 0.2893        | 2.0   | 880  | 0.1686          | 53.022 | 18.5417 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 440  | 0.0303          | 54.7693 | 18.6667 |
+| 0.06          | 2.0   | 880  | 0.0245          | 54.8996 | 18.7604 |
 
 
 ### Framework versions