Downloads · 30 days
2
9% of all-time downloads
t5-FairytaleQA-AE
jeongyoun/t5-FairytaleQA-AE
t5-FairytaleQA-AE is a machine learning model from jeongyoun. 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. --
All-time downloads
22
Public
Parameters
223M
23.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors892 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- 734aeada
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-base-finetuned-FairytaleQA-AnswerExtraction
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0414
- Rouge1: 18.2182
- Rouge2: 7.6359
- Rougel: 17.6063
- Rougelsum: 17.5857
- F1: 1.9133
- Exact Match: 4.0
- Gen Len: 10.3756
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | F1 | Exact Match | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.045 | 1.0 | 2137 | 0.0422 | 17.4796 | 6.949 | 17.0178 | 17.049 | 1.7117 | 3.3171 | 9.8829 |
| 0.0409 | 2.0 | 4274 | 0.0417 | 17.2926 | 6.6376 | 16.9168 | 16.9168 | 2.0107 | 4.3902 | 9.9171 |
| 0.0395 | 3.0 | 6411 | 0.0414 | 17.4948 | 6.7766 | 17.0438 | 17.0267 | 2.1929 | 4.4878 | 9.8585 |
| 0.0382 | 4.0 | 8548 | 0.0414 | 18.6484 | 7.8989 | 18.039 | 18.0181 | 1.8017 | 3.6098 | 10.7366 |
| 0.0374 | 5.0 | 10685 | 0.0414 | 18.2182 | 7.6359 | 17.6063 | 17.5857 | 1.9133 | 4.0 | 10.3756 |
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 13, 2024
- Updated
- Aug 13, 2024