joshcarp
/

calendar_model

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

joshcarp commited on Mar 18

Commit

ef13304

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1 Parent(s): b5f1a8c

End of training

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README.md +9 -9
model.safetensors +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 [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: 10.3553
-- Rouge1: 0.172
-- Rouge2: 0.0704
-- Rougel: 0.1455
-- Rougelsum: 0.145
-- Gen Len: 15.75
 ## Model description
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 5    | 11.3719         | 0.1927 | 0.0704 | 0.1443 | 0.1435    | 15.375  |
-| No log        | 2.0   | 10   | 10.6054         | 0.1723 | 0.0704 | 0.1459 | 0.1453    | 15.5    |
-| No log        | 3.0   | 15   | 10.3553         | 0.172  | 0.0704 | 0.1455 | 0.145     | 15.75   |
 ### 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: 12.6722
+- Rouge1: 0.1767
+- Rouge2: 0.0792
+- Rougel: 0.1555
+- Rougelsum: 0.1518
+- Gen Len: 19.0
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 5    | 14.7700         | 0.2492 | 0.132  | 0.2098 | 0.2078    | 18.5    |
+| No log        | 2.0   | 10   | 13.2798         | 0.191  | 0.0841 | 0.171  | 0.1669    | 18.5    |
+| No log        | 3.0   | 15   | 12.6722         | 0.1767 | 0.0792 | 0.1555 | 0.1518    | 19.0    |
 ### Framework versions

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