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t5-small-finetuned-newssum
GTsky/t5-small-finetuned-newssum
t5-small-finetuned-newssum is a machine learning model from GTsky. 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
- Jan 2, 2024
- Updated
- Jan 2, 2024
- SHA
- 57f4f2a9
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-small-finetuned-newssum
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0180
- Rouge1: 28.4281
- Rouge2: 11.7926
- Rougel: 26.0068
- Rougelsum: 25.971
- Gen Len: 15.3115
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: 0.002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 16 | 2.7920 | 28.3868 | 12.9442 | 25.9886 | 26.0546 | 14.5492 |
| No log | 2.0 | 32 | 2.7583 | 27.0411 | 10.9079 | 24.7416 | 24.6482 | 15.2213 |
| No log | 3.0 | 48 | 2.7845 | 27.7028 | 11.5886 | 25.5631 | 25.6304 | 15.2787 |
| No log | 4.0 | 64 | 2.8982 | 27.9576 | 12.5207 | 25.7261 | 25.6778 | 15.623 |
| No log | 5.0 | 80 | 2.9824 | 27.9748 | 11.3803 | 25.4079 | 25.3393 | 15.3689 |
| No log | 6.0 | 96 | 3.0180 | 28.4281 | 11.7926 | 26.0068 | 25.971 | 15.3115 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.2+cu118
- Datasets 2.11.0
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 2, 2024
- Updated
- Jan 2, 2024