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my_awesome_billsum_model

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.1398
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4987
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- - Rouge1: 0.1398
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- - Rouge2: 0.0494
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- - Rougel: 0.1164
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- - Rougelsum: 0.1162
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  - Gen Len: 19.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 62 | 2.7835 | 0.126 | 0.0377 | 0.1056 | 0.1057 | 19.0 |
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- | No log | 2.0 | 124 | 2.5758 | 0.1301 | 0.044 | 0.1097 | 0.1095 | 19.0 |
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- | No log | 3.0 | 186 | 2.5162 | 0.1383 | 0.0497 | 0.1155 | 0.1154 | 19.0 |
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- | No log | 4.0 | 248 | 2.4987 | 0.1398 | 0.0494 | 0.1164 | 0.1162 | 19.0 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.142
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5508
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+ - Rouge1: 0.142
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+ - Rouge2: 0.0511
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+ - Rougel: 0.118
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+ - Rougelsum: 0.1183
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  - Gen Len: 19.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 62 | 2.8448 | 0.1304 | 0.039 | 0.1088 | 0.109 | 19.0 |
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+ | No log | 2.0 | 124 | 2.6329 | 0.1361 | 0.0458 | 0.1132 | 0.1134 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5676 | 0.1398 | 0.0478 | 0.1166 | 0.1168 | 19.0 |
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+ | No log | 4.0 | 248 | 2.5508 | 0.142 | 0.0511 | 0.118 | 0.1183 | 19.0 |
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  ### Framework versions
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