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BBC_News_summary_model_trained_on_reduced_data
Sanashaheen/BBC_News_summary_model_trained_on_reduced_data
BBC_News_summary_model_trained_on_reduced_data is a machine learning model from Sanashaheen. 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
- Oct 17, 2024
- Updated
- Oct 18, 2024
- SHA
- a74ea143
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. -->
BBC_News_summary_model_trained_on_reduced_data
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1620
- Rouge1: 0.7253
- Rouge2: 0.6345
- Rougel: 0.5335
- Rougelsum: 0.5337
- Generated Length: 124.1525
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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|---|---|---|---|---|---|---|---|---|
| 0.2107 | 1.0 | 501 | 0.1603 | 0.6533 | 0.5521 | 0.4925 | 0.4923 | 110.139 |
| 0.1133 | 2.0 | 1002 | 0.1495 | 0.6886 | 0.5875 | 0.5131 | 0.5138 | 125.2915 |
| 0.0719 | 3.0 | 1503 | 0.1620 | 0.7253 | 0.6345 | 0.5335 | 0.5337 | 124.1525 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Oct 17, 2024
- Updated
- Oct 18, 2024