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model-cnn-dailymail
lexycakesssss/model-cnn-dailymail
model-cnn-dailymail is a machine learning model from lexycakesssss. 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
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- cb4cc5ef
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. -->
model-cnn-dailymail
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0614
- Rouge: {'rouge1': 0.244712987386149, 'rouge2': 0.09089741156156833, 'rougeL': 0.20130780704255938, 'rougeLsum': 0.2014458092407283}
- Bleu: 0.1054
- Perplexity: 7.8927
- Gen Len: 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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge | Bleu | Perplexity | Gen Len |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 75 | 2.1554 | {'rouge1': 0.24004289659476444, 'rouge2': 0.08899351952220792, 'rougeL': 0.19620544968984488, 'rougeLsum': 0.19620948547030603} | 0.1014 | None | 19.0 |
| No log | 2.0 | 150 | 2.0823 | {'rouge1': 0.2395197299581741, 'rouge2': 0.08874595402755553, 'rougeL': 0.19692733055468523, 'rougeLsum': 0.19727630390573275} | 0.1010 | 8.6314 | 19.0 |
| No log | 3.0 | 225 | 2.0659 | {'rouge1': 0.24346041598310222, 'rouge2': 0.09042566103154628, 'rougeL': 0.20046289165406544, 'rougeLsum': 0.2007357619831489} | 0.1041 | 8.0232 | 19.0 |
| No log | 4.0 | 300 | 2.0614 | {'rouge1': 0.244712987386149, 'rouge2': 0.09089741156156833, 'rougeL': 0.20130780704255938, 'rougeLsum': 0.2014458092407283} | 0.1054 | 7.8927 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024