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t5-small-finetuned-xsum
senagoksu/t5-small-finetuned-xsum
t5-small-finetuned-xsum is a machine learning model from senagoksu. 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
- Jun 30, 2024
- Updated
- Jul 1, 2024
- SHA
- 3e7c6f5e
Base models
Datasets
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-xsum
This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5074
- Rouge1: 27.9257
- Rouge2: 7.4618
- Rougel: 21.9338
- Rougelsum: 21.9405
- Gen Len: 18.8176
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.817 | 0.0784 | 500 | 2.5683 | 26.6596 | 6.6324 | 20.7701 | 20.7761 | 18.8057 |
| 2.8029 | 0.1568 | 1000 | 2.5435 | 27.1558 | 6.9694 | 21.2178 | 21.2216 | 18.7999 |
| 2.7797 | 0.2352 | 1500 | 2.5270 | 27.5528 | 7.2608 | 21.621 | 21.6233 | 18.7982 |
| 2.7651 | 0.3137 | 2000 | 2.5165 | 27.6104 | 7.2896 | 21.6928 | 21.7012 | 18.8133 |
| 2.7514 | 0.3921 | 2500 | 2.5112 | 27.8452 | 7.3791 | 21.8632 | 21.8659 | 18.8118 |
| 2.7463 | 0.4705 | 3000 | 2.5074 | 27.9257 | 7.4618 | 21.9338 | 21.9405 | 18.8176 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 30, 2024
- Updated
- Jul 1, 2024