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flan-t5-base
pranalibose/flan-t5-base
flan-t5-base is a machine learning model from pranalibose. 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 13, 2025
- Updated
- Feb 28, 2025
- SHA
- 17b819de
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: 0.6852
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 30.5298 | 1.0 | 16 | 14.8011 |
| 6.0578 | 2.0 | 32 | 4.4134 |
| 4.5539 | 3.0 | 48 | 3.8313 |
| 3.8295 | 4.0 | 64 | 2.6412 |
| 2.472 | 5.0 | 80 | 1.4118 |
| 1.9647 | 6.0 | 96 | 0.9311 |
| 1.4663 | 7.0 | 112 | 0.7941 |
| 1.3348 | 8.0 | 128 | 0.7251 |
| 1.172 | 9.0 | 144 | 0.6895 |
| 1.099 | 10.0 | 160 | 0.6852 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Feb 13, 2025
- Updated
- Feb 28, 2025