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Bart_cnn_multinews_fintuned
Jayicebear/Bart_cnn_multinews_fintuned
Bart_cnn_multinews_fintuned is a machine learning model from Jayicebear. 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
- Nov 21, 2023
- Updated
- Nov 21, 2023
- SHA
- 89376d07
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. -->
results
This model is a fine-tuned version of facebook/bart-large-cnn on the multi_news dataset. It achieves the following results on the evaluation set:
- Loss: 3.0719
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: 5e-05
- train_batch_size: 4
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1682 | 0.89 | 10000 | 3.1293 |
| 2.8049 | 1.78 | 20000 | 3.0567 |
| 2.4622 | 2.67 | 30000 | 3.0719 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023