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cnn_news_summary_model_trained_onm_reduced_data
ReaperDeeper/cnn_news_summary_model_trained_onm_reduced_data
cnn_news_summary_model_trained_onm_reduced_data is a machine learning model from ReaperDeeper. 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
- Oct 7, 2025
- Updated
- Oct 7, 2025
- SHA
- b2aea4a9
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_onm_reduced_data
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4409
- Rouge1: 0.2241
- Rouge2: 0.0979
- Rougel: 0.187
- Rougelsum: 0.1871
- Generated Length: 19.9994
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 431 | 1.4448 | 0.2224 | 0.0961 | 0.1856 | 0.1855 | 19.9994 |
| 1.6215 | 2.0 | 862 | 1.4406 | 0.2241 | 0.0976 | 0.1872 | 0.1872 | 19.9994 |
| 1.6208 | 3.0 | 1293 | 1.4409 | 0.2241 | 0.0979 | 0.187 | 0.1871 | 19.9994 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 7, 2025
- Updated
- Oct 7, 2025