Downloads · 30 days
6
38% of all-time downloads
flan-t5-base
chandana0511/flan-t5-base
flan-t5-base is a machine learning model from chandana0511. 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. --
All-time downloads
16
Public
Repo size
14.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.7 MB · 89%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 15, 2025
- Updated
- Feb 15, 2025
- SHA
- 2dd2d856
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: 0.6975
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: 0.004
- 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 | 0.4313 |
| 0.3215 | 2.0 | 14 | 0.4669 |
| 0.3041 | 3.0 | 21 | 0.4709 |
| 0.3041 | 4.0 | 28 | 0.5289 |
| 0.258 | 5.0 | 35 | 0.5150 |
| 0.2452 | 6.0 | 42 | 0.4786 |
| 0.2452 | 7.0 | 49 | 0.4757 |
| 0.2183 | 8.0 | 56 | 0.5042 |
| 0.1969 | 9.0 | 63 | 0.4987 |
| 0.1908 | 10.0 | 70 | 0.5354 |
| 0.1908 | 11.0 | 77 | 0.5388 |
| 0.1623 | 12.0 | 84 | 0.5487 |
| 0.1539 | 13.0 | 91 | 0.5738 |
| 0.1539 | 14.0 | 98 | 0.6919 |
| 0.1321 | 15.0 | 105 | 0.6198 |
| 0.1246 | 16.0 | 112 | 0.6241 |
| 0.1246 | 17.0 | 119 | 0.6865 |
| 0.1108 | 18.0 | 126 | 0.6446 |
| 0.0989 | 19.0 | 133 | 0.6521 |
| 0.1004 | 20.0 | 140 | 0.6652 |
| 0.1004 | 21.0 | 147 | 0.6546 |
| 0.0897 | 22.0 | 154 | 0.6439 |
| 0.0872 | 23.0 | 161 | 0.6435 |
| 0.0872 | 24.0 | 168 | 0.6627 |
| 0.0808 | 25.0 | 175 | 0.6754 |
| 0.0687 | 26.0 | 182 | 0.6632 |
| 0.0687 | 27.0 | 189 | 0.6677 |
| 0.0664 | 28.0 | 196 | 0.6867 |
| 0.0694 | 29.0 | 203 | 0.6936 |
| 0.0581 | 30.0 | 210 | 0.6975 |
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