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tahreema-r-z
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my_awesome_billsum_model

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

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Files changed (3) hide show
  1. README.md +12 -12
  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: 0.1964
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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: 2.3879
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- - Rouge1: 0.1964
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- - Rouge2: 0.1006
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- - Rougel: 0.1667
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- - Rougelsum: 0.1667
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  - Gen Len: 19.0
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 6
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- - eval_batch_size: 6
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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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 | 165 | 2.5700 | 0.1366 | 0.0512 | 0.1151 | 0.115 | 19.0 |
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- | No log | 2.0 | 330 | 2.4440 | 0.1673 | 0.0759 | 0.1403 | 0.1399 | 19.0 |
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- | No log | 3.0 | 495 | 2.4000 | 0.192 | 0.0955 | 0.1626 | 0.1625 | 19.0 |
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- | 2.8526 | 4.0 | 660 | 2.3879 | 0.1964 | 0.1006 | 0.1667 | 0.1667 | 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: 0.1709
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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: 2.3627
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+ - Rouge1: 0.1709
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+ - Rouge2: 0.0742
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+ - Rougel: 0.1434
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+ - Rougelsum: 0.1436
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  - Gen Len: 19.0
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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 | 124 | 2.5595 | 0.1335 | 0.0418 | 0.1099 | 0.1101 | 19.0 |
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+ | No log | 2.0 | 248 | 2.4269 | 0.1436 | 0.0513 | 0.1189 | 0.1187 | 19.0 |
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+ | No log | 3.0 | 372 | 2.3754 | 0.1644 | 0.0679 | 0.1365 | 0.1367 | 19.0 |
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+ | No log | 4.0 | 496 | 2.3627 | 0.1709 | 0.0742 | 0.1434 | 0.1436 | 19.0 |
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  ### Framework versions
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