Model save

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: t5-small
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-feedback
   results: []
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-feedback
 
 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: 1.6145
+- Rouge1: 51.2809
+- Rouge2: 27.3229
+- Rougel: 49.2287
+- Rougelsum: 49.211
+- Gen Len: 10.1736
 
 ## Model description
 
@@ -38,14 +47,25 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 12
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 61   | 3.6183          | 23.4714 | 9.0363 | 20.5954 | 20.9234   | 17.6529 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 61   | 2.9832          | 24.9931 | 10.0881 | 21.9651 | 22.0687   | 16.4876 |
+| No log        | 2.0   | 122  | 2.1822          | 36.3348 | 17.5969 | 34.3034 | 34.2834   | 12.1653 |
+| No log        | 3.0   | 183  | 1.9607          | 43.7295 | 21.5907 | 41.8815 | 41.929    | 10.5372 |
+| No log        | 4.0   | 244  | 1.8412          | 48.7074 | 25.1744 | 46.8382 | 46.8399   | 10.405  |
+| No log        | 5.0   | 305  | 1.7674          | 50.1972 | 26.4116 | 48.1456 | 48.0538   | 10.2066 |
+| No log        | 6.0   | 366  | 1.7195          | 51.0984 | 27.8685 | 48.9483 | 49.0108   | 10.3554 |
+| No log        | 7.0   | 427  | 1.6832          | 50.272  | 27.3168 | 48.4083 | 48.4307   | 10.0331 |
+| No log        | 8.0   | 488  | 1.6558          | 50.6829 | 27.5132 | 48.6684 | 48.735    | 10.2727 |
+| 2.363         | 9.0   | 549  | 1.6357          | 50.0286 | 27.0674 | 48.0211 | 48.0783   | 10.1736 |
+| 2.363         | 10.0  | 610  | 1.6240          | 50.8207 | 26.8345 | 48.6528 | 48.6903   | 10.1983 |
+| 2.363         | 11.0  | 671  | 1.6166          | 50.9796 | 27.0236 | 48.8888 | 48.8958   | 10.1901 |
+| 2.363         | 12.0  | 732  | 1.6145          | 51.2809 | 27.3229 | 49.2287 | 49.211    | 10.1736 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d383892b105c9cb11b525b9e158fa28d98411fb7ea2dd36f0b8238988f8ce3e
+oid sha256:ec456a150981aa9605e50fdc7b77a00dd1891ec4f8035b42a176c7e155425c74
 size 242041896

runs/May01_14-32-23_1c1f59b624b8/events.out.tfevents.1714573944.1c1f59b624b8.1026.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d5e2229d010131e743acb377121e950c724efc3b490735d9d59a55db3659db0
-size 10077
+oid sha256:20d71dc3209eb644c313810fb9efb0545027da6bd8e01165485cbf1a02536d78
+size 12531