WingPatil
/

my_awesome_billsum_model

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

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WingPatil commited on Jan 17

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End of training

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README.md +9 -9
pytorch_model.bin +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -17,12 +17,12 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.6331
-- Rouge1: 0.0
 - Rouge2: 0.0
-- Rougel: 0.0
-- Rougelsum: 0.0
-- Gen Len: 7.7656
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 16   | 4.1763          | 0.0    | 0.0    | 0.0    | 0.0       | 10.4375 |
-| No log        | 2.0   | 32   | 3.8762          | 0.0    | 0.0    | 0.0    | 0.0       | 9.0781  |
-| No log        | 3.0   | 48   | 3.7014          | 0.0    | 0.0    | 0.0    | 0.0       | 8.125   |
-| No log        | 4.0   | 64   | 3.6331          | 0.0    | 0.0    | 0.0    | 0.0       | 7.7656  |
 ### Framework versions

 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 5.0267
+- Rouge1: 0.0016
 - Rouge2: 0.0
+- Rougel: 0.0016
+- Rougelsum: 0.0016
+- Gen Len: 5.5
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 16   | 5.3570          | 0.0016 | 0.0    | 0.0016 | 0.0016    | 5.75    |
+| No log        | 2.0   | 32   | 5.1773          | 0.0    | 0.0    | 0.0    | 0.0       | 5.5938  |
+| No log        | 3.0   | 48   | 5.0684          | 0.0016 | 0.0    | 0.0016 | 0.0016    | 5.5625  |
+| No log        | 4.0   | 64   | 5.0267          | 0.0016 | 0.0    | 0.0016 | 0.0016    | 5.5     |
 ### Framework versions

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