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my_thaisum_model
Mayypeeya/my_thaisum_model
my_thaisum_model is a machine learning model from Mayypeeya. 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
- Jul 14, 2023
- Updated
- Jul 14, 2023
- SHA
- 666484e6
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. -->
my_thaisum_model
This model is a fine-tuned version of t5-small on the thaisum dataset. It achieves the following results on the evaluation set:
- Loss: 0.2693
- Rouge1: 0.0808
- Rouge2: 0.0381
- Rougel: 0.0803
- Rougelsum: 0.0803
- Gen Len: 18.9585
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.565 | 1.0 | 2500 | 0.2799 | 0.0605 | 0.0231 | 0.0599 | 0.0598 | 18.976 |
| 0.3769 | 2.0 | 5000 | 0.2693 | 0.0808 | 0.0381 | 0.0803 | 0.0803 | 18.9585 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 14, 2023
- Updated
- Jul 14, 2023