smartik
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mt5-small-finetuned-gec-0.2

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Anastasiia Hudyma commited on Mar 5, 2023

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update model card README.md

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@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6969
-- Rouge1: 15.8187
-- Rouge2: 4.1339
-- Rougel: 15.8477
-- Rougelsum: 15.8028
-- Gen Len: 15.5983
 ## Model description
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 1.2261        | 1.0   | 4092 | 0.6969          | 15.8187 | 4.1339 | 15.8477 | 15.8028   | 15.5983 |
 ### Framework versions

 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6969
+- Rouge1: 19.1064
+- Rouge2: 6.4052
+- Rougel: 19.1295
+- Rougelsum: 19.214
+- Gen Len: 29.7537
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 1.2261        | 1.0   | 4092 | 0.6969          | 19.1064 | 6.4052 | 19.1295 | 19.214    | 29.7537 |
 ### Framework versions