my-awesome-model

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.1953
-- Rouge1: 0.0416
-- Rouge2: 0.0103
-- Rougel: 0.0411
-- Rougelsum: 0.0412
-- Gen Len: 13.6933
+- Loss: 3.0221
+- Rouge1: 0.0464
+- Rouge2: 0.0119
+- Rougel: 0.0464
+- Rougelsum: 0.0463
+- Gen Len: 16.2531
 
 ## Model description
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 9.9902        | 1.0   | 938  | 3.5849          | 0.0198 | 0.0053 | 0.0196 | 0.0197    | 11.0792 |
-| 4.5579        | 2.0   | 1876 | 3.2813          | 0.024  | 0.0067 | 0.0239 | 0.024     | 12.9491 |
-| 4.2559        | 3.0   | 2814 | 3.2169          | 0.0396 | 0.0093 | 0.0391 | 0.0393    | 13.7149 |
-| 4.1769        | 4.0   | 3752 | 3.1953          | 0.0416 | 0.0103 | 0.0411 | 0.0412    | 13.6933 |
+| 4.0764        | 1.0   | 938  | 3.1099          | 0.0429 | 0.0098 | 0.0428 | 0.0428    | 14.8533 |
+| 3.8336        | 2.0   | 1876 | 3.0549          | 0.043  | 0.0103 | 0.0429 | 0.0427    | 15.4201 |
+| 3.7839        | 3.0   | 2814 | 3.0356          | 0.0474 | 0.0116 | 0.0472 | 0.0471    | 16.3025 |
+| 3.7851        | 4.0   | 3752 | 3.0221          | 0.0464 | 0.0119 | 0.0464 | 0.0463    | 16.2531 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9b771923d04bca5fc65155133d32939890769a42ae67fa88552ea6abd8b67c58
 size 1200772613