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bart-cnn-samsum-peft-trained-x
AlfredBink/bart-cnn-samsum-peft-trained-x
bart-cnn-samsum-peft-trained-x is a machine learning model from AlfredBink. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024
- SHA
- c3d1978a
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. -->
bart-cnn-samsum-peft-trained-x
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: 0.0489
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7177 | 1.0 | 200 | 2.2686 |
| 0.1079 | 2.0 | 400 | 0.0782 |
| 0.0679 | 3.0 | 600 | 0.0565 |
| 0.0639 | 4.0 | 800 | 0.0528 |
| 0.052 | 5.0 | 1000 | 0.0509 |
| 0.0542 | 6.0 | 1200 | 0.0498 |
| 0.0545 | 7.0 | 1400 | 0.0491 |
| 0.0542 | 8.0 | 1600 | 0.0489 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024