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flan-t5-base
KARNERAHUL99/flan-t5-base
flan-t5-base is a machine learning model from KARNERAHUL99. 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 peft. 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
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 15, 2025
- Updated
- Feb 15, 2025
- SHA
- 613949ec
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. -->
flan-t5-base
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3298
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 1.2308 |
| 2.3868 | 2.0 | 14 | 0.9288 |
| 1.6775 | 3.0 | 21 | 0.7270 |
| 1.6775 | 4.0 | 28 | 0.6608 |
| 1.2722 | 5.0 | 35 | 0.5970 |
| 1.0065 | 6.0 | 42 | 0.5621 |
| 1.0065 | 7.0 | 49 | 0.4971 |
| 0.8962 | 8.0 | 56 | 0.4758 |
| 0.7643 | 9.0 | 63 | 0.4460 |
| 0.6697 | 10.0 | 70 | 0.4292 |
| 0.6697 | 11.0 | 77 | 0.4073 |
| 0.6176 | 12.0 | 84 | 0.3810 |
| 0.6032 | 13.0 | 91 | 0.3783 |
| 0.6032 | 14.0 | 98 | 0.3697 |
| 0.5406 | 15.0 | 105 | 0.3693 |
| 0.5269 | 16.0 | 112 | 0.3619 |
| 0.5269 | 17.0 | 119 | 0.3523 |
| 0.4787 | 18.0 | 126 | 0.3423 |
| 0.4701 | 19.0 | 133 | 0.3387 |
| 0.4445 | 20.0 | 140 | 0.3350 |
| 0.4445 | 21.0 | 147 | 0.3357 |
| 0.4365 | 22.0 | 154 | 0.3318 |
| 0.4185 | 23.0 | 161 | 0.3312 |
| 0.4185 | 24.0 | 168 | 0.3315 |
| 0.4152 | 25.0 | 175 | 0.3310 |
| 0.3922 | 26.0 | 182 | 0.3308 |
| 0.3922 | 27.0 | 189 | 0.3300 |
| 0.3979 | 28.0 | 196 | 0.3301 |
| 0.3855 | 29.0 | 203 | 0.3300 |
| 0.3908 | 30.0 | 210 | 0.3298 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Feb 15, 2025
- Updated
- Feb 15, 2025