Downloads · 30 days
5
2% of all-time downloads
flant5-finetuning
tuquyennnn/flant5-finetuning
flant5-finetuning is a machine learning model from tuquyennnn. 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. --
All-time downloads
247
Public
Parameters
248M
991 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors990 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 2, 2024
- Updated
- May 2, 2024
- SHA
- 38a67cbb
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. -->
flant5-finetuning
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0746
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.126 | 0.32 | 250 | 0.0827 |
| 0.0959 | 0.64 | 500 | 0.0801 |
| 0.0942 | 0.96 | 750 | 0.0788 |
| 0.0897 | 1.28 | 1000 | 0.0772 |
| 0.0883 | 1.61 | 1250 | 0.0769 |
| 0.0876 | 1.93 | 1500 | 0.0766 |
| 0.0858 | 2.25 | 1750 | 0.0762 |
| 0.0841 | 2.57 | 2000 | 0.0757 |
| 0.0835 | 2.89 | 2250 | 0.0753 |
| 0.0822 | 3.21 | 2500 | 0.0754 |
| 0.0818 | 3.53 | 2750 | 0.0751 |
| 0.0801 | 3.85 | 3000 | 0.0750 |
| 0.0807 | 4.17 | 3250 | 0.0749 |
| 0.0779 | 4.49 | 3500 | 0.0749 |
| 0.0796 | 4.82 | 3750 | 0.0748 |
| 0.0779 | 5.14 | 4000 | 0.0746 |
| 0.0773 | 5.46 | 4250 | 0.0748 |
| 0.0778 | 5.78 | 4500 | 0.0746 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 2, 2024
- Updated
- May 2, 2024