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t5-cnn-sum
thatfaib/t5-cnn-sum
t5-cnn-sum is a machine learning model from thatfaib. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 14, 2024
- Updated
- Aug 23, 2024
- SHA
- b8b0c2df
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. -->
t5-cnn-sum
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: 1.7032
- Rouge1: 0.2468
- Rouge2: 0.1177
- Rougel: 0.2041
- Rougelsum: 0.2041
- Gen Len: 18.9985
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8511 | 1.0 | 17945 | 1.7032 | 0.2468 | 0.1177 | 0.2041 | 0.2041 | 18.9985 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.15.0
- Type
- t5
- License
- apache-2.0
- Created
- Aug 14, 2024
- Updated
- Aug 23, 2024