Megnis
/

T5_Ru_VKR

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

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Megnis commited on May 23

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a3592fc

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1 Parent(s): 82df1ab

End of training

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README.md +10 -10
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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8379
-- Rouge1: 0.0245
-- Rouge2: 0.0098
-- Rougel: 0.0244
-- Rougelsum: 0.0246
-- Gen Len: 18.89
 ## Model description
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 100  | 1.9162          | 0.0195 | 0.0069 | 0.0194 | 0.0196    | 18.91   |
-| No log        | 2.0   | 200  | 1.8605          | 0.0237 | 0.0093 | 0.0235 | 0.0238    | 18.89   |
-| No log        | 3.0   | 300  | 1.8399          | 0.0237 | 0.0093 | 0.0235 | 0.0238    | 18.89   |
-| No log        | 4.0   | 400  | 1.8379          | 0.0245 | 0.0098 | 0.0244 | 0.0246    | 18.89   |
 ### Framework versions

 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.8474
+- Rouge1: 0.0229
+- Rouge2: 0.0135
+- Rougel: 0.0228
+- Rougelsum: 0.0227
+- Gen Len: 18.845
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 100  | 1.9287          | 0.0246 | 0.0135 | 0.0245 | 0.0242    | 18.865  |
+| No log        | 2.0   | 200  | 1.8761          | 0.0213 | 0.0135 | 0.0212 | 0.021     | 18.845  |
+| No log        | 3.0   | 300  | 1.8454          | 0.0213 | 0.0135 | 0.0212 | 0.021     | 18.845  |
+| No log        | 4.0   | 400  | 1.8474          | 0.0229 | 0.0135 | 0.0228 | 0.0227    | 18.845  |
 ### Framework versions

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