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finetuned_bartbase_on_medi_data
Madan490/finetuned_bartbase_on_medi_data
finetuned_bartbase_on_medi_data is a summarization model from Madan490. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024
- SHA
- 9ba181d5
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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. -->
finetuned_bartbase_on_medi_data
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1259
- Rouge1: 0.8208
- Rouge2: 0.6644
- Rougel: 0.7467
- Rougelsum: 0.7542
- Gen Len: 75.0167
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: 2.660730299084495e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 175 | 0.1297 | 0.812 | 0.6479 | 0.7393 | 0.7477 | 76.0533 |
| No log | 2.0 | 350 | 0.1037 | 0.817 | 0.6546 | 0.7393 | 0.7497 | 77.2933 |
| 0.0519 | 3.0 | 525 | 0.1095 | 0.8196 | 0.6656 | 0.7504 | 0.7588 | 75.38 |
| 0.0519 | 4.0 | 700 | 0.1157 | 0.8141 | 0.6539 | 0.7397 | 0.7494 | 76.3633 |
| 0.0519 | 5.0 | 875 | 0.1259 | 0.8208 | 0.6644 | 0.7467 | 0.7542 | 75.0167 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- mit
- Languages
- en
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024