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emresefer
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my_awesome_billsum_model

Text2Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
t5
Generated from Trainer
Eval Results
Inference Endpoints
text-generation-inference
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emresefer commited on
Commit
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1 Parent(s): 9c2f1df

End of training

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Files changed (5) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov28_11-40-03_emres-MacBook-Pro.local/events.out.tfevents.1701160803.emres-MacBook-Pro.local.72732.0 +3 -0
  4. runs/Nov28_11-41-09_emres-MacBook-Pro.local/events.out.tfevents.1701160869.emres-MacBook-Pro.local.72796.0 +3 -0
  5. 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: 0.1326
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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: 4.5600
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- - Rouge1: 0.1326
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- - Rouge2: 0.0267
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- - Rougel: 0.1146
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- - Rougelsum: 0.1146
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  - Gen Len: 19.0
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  ## Model description
@@ -68,8 +68,8 @@ 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 | 1 | 4.5905 | 0.1326 | 0.0267 | 0.1146 | 0.1146 | 19.0 |
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- | No log | 2.0 | 2 | 4.5600 | 0.1326 | 0.0267 | 0.1146 | 0.1146 | 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: 0.0868
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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: 5.4878
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+ - Rouge1: 0.0868
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+ - Rouge2: 0.0
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+ - Rougel: 0.0605
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+ - Rougelsum: 0.0605
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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 | 1 | 5.5139 | 0.0868 | 0.0 | 0.0605 | 0.0605 | 19.0 |
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+ | No log | 2.0 | 2 | 5.4878 | 0.0868 | 0.0 | 0.0605 | 0.0605 | 19.0 |
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  ### Framework versions
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