Model save

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8637
+- Loss: 0.1397
 - Bleu: 0.0001
 - Accuracy: 0.0
-- Gen Len: 18.9988
+- Gen Len: 18.9987
 
 ## Model description
 
@@ -53,8 +53,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Accuracy | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:-------:|
-| 1.17          | 1.0   | 6250  | 0.8994          | 0.0001 | 0.0      | 18.9988 |
-| 1.1297        | 2.0   | 12500 | 0.8637          | 0.0001 | 0.0      | 18.9988 |
+| 0.2127        | 1.0   | 6250  | 0.1517          | 0.0001 | 0.0      | 18.9987 |
+| 0.1844        | 2.0   | 12500 | 0.1397          | 0.0001 | 0.0      | 18.9987 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:290f5fc3a17f0ab20225399a354f5f0dcba748f7bc1f2bd81f846a9cc1ff4aa2
+oid sha256:19375188e79a87051cbcd9ff506b4bb09384325ecc53d097f6a3962e850b0e0e
 size 891644712