muo-ahn
/

my_awesome_billsum_model

Text2Text Generation

generated_from_keras_callback

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

muo-ahn commited on May 31

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51d47ba

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1 Parent(s): 2944165

Training in progress epoch 17

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README.md +8 -7
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,14 +15,14 @@ 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:
-- Train Loss: 3.0293
-- Validation Loss: 2.8424
-- Train Rouge1: 0.5384
-- Train Rouge2: 0.2015
-- Train Rougel: 0.4206
-- Train Rougelsum: 0.4212
 - Train Gen Len: 126.4758
-- Epoch: 16
 ## Model description
@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
 | 3.0742     | 2.8672          | 0.5346       | 0.1987       | 0.4185       | 0.4191          | 126.4718      | 14    |
 | 3.0464     | 2.8539          | 0.5361       | 0.2003       | 0.4198       | 0.4204          | 126.4677      | 15    |
 | 3.0293     | 2.8424          | 0.5384       | 0.2015       | 0.4206       | 0.4212          | 126.4758      | 16    |
 ### 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:
+- Train Loss: 3.0118
+- Validation Loss: 2.8311
+- Train Rouge1: 0.5405
+- Train Rouge2: 0.2035
+- Train Rougel: 0.423
+- Train Rougelsum: 0.4234
 - Train Gen Len: 126.4758
+- Epoch: 17
 ## Model description
 | 3.0742     | 2.8672          | 0.5346       | 0.1987       | 0.4185       | 0.4191          | 126.4718      | 14    |
 | 3.0464     | 2.8539          | 0.5361       | 0.2003       | 0.4198       | 0.4204          | 126.4677      | 15    |
 | 3.0293     | 2.8424          | 0.5384       | 0.2015       | 0.4206       | 0.4212          | 126.4758      | 16    |
+| 3.0118     | 2.8311          | 0.5405       | 0.2035       | 0.423        | 0.4234          | 126.4758      | 17    |
 ### Framework versions

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