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flan-t5-base
AVVG/flan-t5-base
flan-t5-base is a machine learning model from AVVG. 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
- 3feeb226
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: 0.4831
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4397 | 1.0 | 11 | 0.4739 |
| 0.4047 | 2.0 | 22 | 0.4714 |
| 0.3615 | 3.0 | 33 | 0.4707 |
| 0.3797 | 4.0 | 44 | 0.4498 |
| 0.3422 | 5.0 | 55 | 0.4552 |
| 0.3346 | 6.0 | 66 | 0.4707 |
| 0.3242 | 7.0 | 77 | 0.4753 |
| 0.2907 | 8.0 | 88 | 0.4676 |
| 0.2846 | 9.0 | 99 | 0.4705 |
| 0.2752 | 10.0 | 110 | 0.4766 |
| 0.2688 | 11.0 | 121 | 0.4681 |
| 0.2654 | 12.0 | 132 | 0.4879 |
| 0.2581 | 13.0 | 143 | 0.4866 |
| 0.2483 | 14.0 | 154 | 0.4824 |
| 0.2508 | 15.0 | 165 | 0.4948 |
| 0.2408 | 16.0 | 176 | 0.4868 |
| 0.251 | 17.0 | 187 | 0.4830 |
| 0.2368 | 18.0 | 198 | 0.4824 |
| 0.2465 | 19.0 | 209 | 0.4824 |
| 0.2422 | 20.0 | 220 | 0.4831 |
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