umarkhalid96
/

t5-small-train

text2text-generation

Generated from Trainer

text-generation-inference

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

umarkhalid96 commited on Apr 24, 2022

Commit

9fd3fee

•

1 Parent(s): a62727e

update model card README.md

Files changed (1) hide show

README.md +13 -13

README.md CHANGED Viewed

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 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: 2.2692
-- Rouge1: 43.5294
-- Rouge2: 20.1218
-- Rougel: 38.2432
-- Rougelsum: 38.5309
 ## Model description
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 2.2002        | 1.0   | 45   | 2.3801          | 39.5927 | 17.56   | 34.8839 | 34.977    |
-| 2.2874        | 2.0   | 90   | 2.3215          | 42.1206 | 19.5707 | 37.4264 | 37.5744   |
-| 2.1849        | 3.0   | 135  | 2.2984          | 42.9145 | 19.909  | 38.037  | 38.2372   |
-| 2.118         | 4.0   | 180  | 2.2840          | 42.8622 | 19.9657 | 37.7942 | 38.0604   |
-| 2.1313        | 5.0   | 225  | 2.2769          | 43.1308 | 19.5776 | 37.7888 | 38.0067   |
-| 2.0853        | 6.0   | 270  | 2.2704          | 43.5864 | 20.101  | 38.1732 | 38.4421   |
-| 2.0429        | 7.0   | 315  | 2.2697          | 43.3193 | 19.9277 | 37.9448 | 38.2164   |
-| 2.0436        | 8.0   | 360  | 2.2692          | 43.5294 | 20.1218 | 38.2432 | 38.5309   |
 ### Framework versions

 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: 2.2040
+- Rouge1: 41.009
+- Rouge2: 19.7854
+- Rougel: 35.9964
+- Rougelsum: 36.3683
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 3.2258        | 1.0   | 45   | 2.5626          | 35.3318 | 14.4723 | 28.9743 | 29.7734   |
+| 2.6644        | 2.0   | 90   | 2.3661          | 37.9382 | 17.5774 | 33.0163 | 33.1361   |
+| 2.47          | 3.0   | 135  | 2.2789          | 38.6804 | 18.3594 | 33.702  | 34.0716   |
+| 2.3602        | 4.0   | 180  | 2.2382          | 40.5393 | 18.7869 | 35.2023 | 35.6811   |
+| 2.3251        | 5.0   | 225  | 2.2227          | 40.1596 | 18.9828 | 35.1999 | 35.5553   |
+| 2.2775        | 6.0   | 270  | 2.2114          | 40.8535 | 19.2204 | 35.8137 | 36.1612   |
+| 2.2247        | 7.0   | 315  | 2.2060          | 41.0105 | 19.7689 | 36.0327 | 36.3554   |
+| 2.2412        | 8.0   | 360  | 2.2040          | 41.009  | 19.7854 | 35.9964 | 36.3683   |
 ### Framework versions