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software_lab_billsum_model
TusharsinghBaghel/software_lab_billsum_model
software_lab_billsum_model is a machine learning model from TusharsinghBaghel. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 3, 2023
- Updated
- Dec 4, 2023
- SHA
- fdc1ae68
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
software_lab_billsum_model
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5173
- Rouge1: 0.1422
- Rouge2: 0.0516
- Rougel: 0.1174
- Rougelsum: 0.1175
- Gen Len: 19.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.8088 | 0.1242 | 0.034 | 0.1027 | 0.1028 | 19.0 |
| No log | 2.0 | 124 | 2.6031 | 0.1335 | 0.0437 | 0.1112 | 0.1113 | 19.0 |
| No log | 3.0 | 186 | 2.5356 | 0.1394 | 0.0487 | 0.115 | 0.1149 | 19.0 |
| No log | 4.0 | 248 | 2.5173 | 0.1422 | 0.0516 | 0.1174 | 0.1175 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 3, 2023
- Updated
- Dec 4, 2023