Timpasc
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t5-small-article

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

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Timpasc commited on Apr 9

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update model card README.md

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@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4757
-- Rouge1: 40.1186
-- Rouge2: 22.7812
-- Rougel: 35.1392
-- Rougelsum: 37.8413
 ## Model description
@@ -39,7 +39,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5.6e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 1.7899        | 1.0   | 1880  | 1.4997          | 39.8818 | 22.4383 | 35.0498 | 37.6981   |
-| 1.653         | 2.0   | 3760  | 1.4715          | 39.9581 | 22.688  | 35.0722 | 37.7133   |
-| 1.5908        | 3.0   | 5640  | 1.4802          | 40.0258 | 22.7103 | 35.1825 | 37.8682   |
-| 1.5489        | 4.0   | 7520  | 1.4776          | 39.8872 | 22.6587 | 34.9274 | 37.6941   |
-| 1.5184        | 5.0   | 9400  | 1.4670          | 40.2789 | 22.8438 | 35.2877 | 38.015    |
-| 1.4921        | 6.0   | 11280 | 1.4779          | 40.2573 | 22.929  | 35.2733 | 37.9563   |
-| 1.4772        | 7.0   | 13160 | 1.4841          | 40.0516 | 22.7423 | 35.0934 | 37.7769   |
-| 1.4656        | 8.0   | 15040 | 1.4757          | 40.1186 | 22.7812 | 35.1392 | 37.8413   |
 ### Framework versions

 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.1645
+- Rouge1: 33.3436
+- Rouge2: 16.5897
+- Rougel: 28.335
+- Rougelsum: 31.1228
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 5.6e-08
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.5953        | 1.0   | 1880  | 2.3487          | 31.0337 | 15.0267 | 26.0027 | 28.8777   |
+| 2.5437        | 2.0   | 3760  | 2.2894          | 31.838  | 15.394  | 26.7426 | 29.625    |
+| 2.5054        | 3.0   | 5640  | 2.2434          | 32.034  | 15.5701 | 26.913  | 29.8383   |
+| 2.474         | 4.0   | 7520  | 2.2104          | 32.0455 | 15.5593 | 27.0056 | 29.8549   |
+| 2.4456        | 5.0   | 9400  | 2.1876          | 32.7165 | 16.1007 | 27.6665 | 30.5147   |
+| 2.4295        | 6.0   | 11280 | 2.1734          | 33.0987 | 16.3509 | 28.011  | 30.8393   |
+| 2.4205        | 7.0   | 13160 | 2.1662          | 33.2262 | 16.4986 | 28.1781 | 30.9915   |
+| 2.4165        | 8.0   | 15040 | 2.1645          | 33.3436 | 16.5897 | 28.335  | 31.1228   |
 ### Framework versions