afaranda
/

my_awesome_geopolitical_model

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

afaranda commited on Sep 29, 2023

Commit

1e8a3e8

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1 Parent(s): 0ab12cc

End of training

Files changed (2) hide show

README.md +10 -10
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.2106
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [gsarti/it5-small](https://huggingface.co/gsarti/it5-small) on the geopolitica dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
-- Rouge1: 0.2106
-- Rouge2: 0.0906
-- Rougel: 0.2106
-- Rougelsum: 0.2106
-- Gen Len: 19.0
 ## Model description
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 1    | nan             | 0.2106 | 0.0906 | 0.2106 | 0.2106    | 19.0    |
-| No log        | 2.0   | 2    | nan             | 0.2106 | 0.0906 | 0.2106 | 0.2106    | 19.0    |
-| No log        | 3.0   | 3    | nan             | 0.2106 | 0.0906 | 0.2106 | 0.2106    | 19.0    |
-| No log        | 4.0   | 4    | nan             | 0.2106 | 0.0906 | 0.2106 | 0.2106    | 19.0    |
 ### Framework versions

     metrics:
     - name: Rouge1
       type: rouge
+      value: 0.1409
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [gsarti/it5-small](https://huggingface.co/gsarti/it5-small) on the geopolitica dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
+- Rouge1: 0.1409
+- Rouge2: 0.0203
+- Rougel: 0.1247
+- Rougelsum: 0.125
+- Gen Len: 18.781
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 53   | nan             | 0.1409 | 0.0203 | 0.1247 | 0.125     | 18.781  |
+| No log        | 2.0   | 106  | nan             | 0.1409 | 0.0203 | 0.1247 | 0.125     | 18.781  |
+| No log        | 3.0   | 159  | nan             | 0.1409 | 0.0203 | 0.1247 | 0.125     | 18.781  |
+| No log        | 4.0   | 212  | nan             | 0.1409 | 0.0203 | 0.1247 | 0.125     | 18.781  |
 ### Framework versions

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
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 size 4219

 version https://git-lfs.github.com/spec/v1
+oid sha256:e44012d20395f0b421d4f597c3a9f85677268b36cbe15211e26144e1829fabf0
 size 4219