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t5-small-finetuned-FairytaleQA
minseo0820/t5-small-finetuned-FairytaleQA
t5-small-finetuned-FairytaleQA is a machine learning model from minseo0820. 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 10, 2024
- Updated
- Aug 12, 2024
- SHA
- cb5e8a50
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-FairytaleQA
This model is a fine-tuned version of t5-small on the fairytale_qa dataset. It achieves the following results on the evaluation set:
- Loss: 0.1565
- Rouge1: 0.1834
- Rouge2: 0.1278
- Rougel: 0.1651
- Rougelsum: 0.1789
- Gen Len: 1.0
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1485 | 1.0 | 2137 | 0.1584 | 0.183 | 0.1271 | 0.1646 | 0.1784 | 1.0 |
| 0.1528 | 2.0 | 4274 | 0.1565 | 0.1834 | 0.1278 | 0.1651 | 0.1789 | 1.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- t5
- License
- apache-2.0
- Created
- Aug 10, 2024
- Updated
- Aug 12, 2024