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cnn_news_summary_model_trained_on_reduced_data
Saif-ul-islam/cnn_news_summary_model_trained_on_reduced_data
cnn_news_summary_model_trained_on_reduced_data is a machine learning model from Saif-ul-islam. 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
- t5
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024
- SHA
- 1e99c4ab
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. -->
cnn_news_summary_model_trained_on_reduced_data
This model is a fine-tuned version of Falconsai/text_summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7755
- Rouge1: 0.1839
- Rouge2: 0.1415
- Rougel: 0.1839
- Rougelsum: 0.1839
- Generated Length: 19.0
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 0.7867 | 0.169 | 0.126 | 0.169 | 0.169 | 19.0 |
| No log | 2.0 | 2 | 0.7791 | 0.1839 | 0.1415 | 0.1839 | 0.1839 | 19.0 |
| No log | 3.0 | 3 | 0.7755 | 0.1839 | 0.1415 | 0.1839 | 0.1839 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024