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pegasus-trial
RafSarLop/pegasus-trial
pegasus-trial is a machine learning model from RafSarLop. 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
- pegasus
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- 5a7e007f
Base models
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. -->
pegasus-trial
This model is a fine-tuned version of tuner007/pegasus_summarizer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2040
- Bleu: 78.9331
- Gen Len: 25.4062
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: 5.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2604 | 1.0 | 1171 | 0.3016 | 77.0102 | 25.2188 |
| 0.1384 | 2.0 | 2342 | 0.2040 | 78.9331 | 25.4062 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- pegasus
- License
- apache-2.0
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024