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AishBadg
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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
AishBadg commited on
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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: 0.1394
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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: 2.4814
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- - Rouge1: 0.1394
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- - Rouge2: 0.0507
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- - Rougel: 0.1146
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- - Rougelsum: 0.1147
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  - Gen Len: 19.0
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  ## Model description
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
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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 | 2.7840 | 0.125 | 0.0368 | 0.1046 | 0.1047 | 19.0 |
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- | No log | 2.0 | 124 | 2.5660 | 0.1318 | 0.0429 | 0.1107 | 0.1107 | 19.0 |
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- | No log | 3.0 | 186 | 2.5005 | 0.1383 | 0.0513 | 0.1148 | 0.115 | 19.0 |
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- | No log | 4.0 | 248 | 2.4814 | 0.1394 | 0.0507 | 0.1146 | 0.1147 | 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: 0.1378
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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: 2.5311
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+ - Rouge1: 0.1378
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+ - Rouge2: 0.0494
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+ - Rougel: 0.1152
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+ - Rougelsum: 0.115
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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 | 2.8245 | 0.1278 | 0.0386 | 0.107 | 0.1069 | 19.0 |
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+ | No log | 2.0 | 124 | 2.6117 | 0.137 | 0.0491 | 0.1149 | 0.1151 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5473 | 0.1366 | 0.05 | 0.1143 | 0.1141 | 19.0 |
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+ | No log | 4.0 | 248 | 2.5311 | 0.1378 | 0.0494 | 0.1152 | 0.115 | 19.0 |
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  ### Framework versions
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