Downloads · 30 days
11
29% of all-time downloads
flan-t5-small-sql
kyryl-opens-ml/flan-t5-small-sql
flan-t5-small-sql is a machine learning model from kyryl-opens-ml. 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
38
Public
Repo size
22.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.8 MB · 53%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 25, 2024
- Updated
- Feb 25, 2024
- SHA
- a48fd04b
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-small-sql
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3584
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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1000.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3349 | 62.5 | 500 | 0.2107 |
| 0.1147 | 125.0 | 1000 | 0.2410 |
| 0.071 | 187.5 | 1500 | 0.2687 |
| 0.0502 | 250.0 | 2000 | 0.2901 |
| 0.0373 | 312.5 | 2500 | 0.3033 |
| 0.0301 | 375.0 | 3000 | 0.3141 |
| 0.025 | 437.5 | 3500 | 0.3235 |
| 0.0212 | 500.0 | 4000 | 0.3312 |
| 0.0187 | 562.5 | 4500 | 0.3404 |
| 0.017 | 625.0 | 5000 | 0.3371 |
| 0.0148 | 687.5 | 5500 | 0.3466 |
| 0.0139 | 750.0 | 6000 | 0.3480 |
| 0.0124 | 812.5 | 6500 | 0.3552 |
| 0.0118 | 875.0 | 7000 | 0.3594 |
| 0.0112 | 937.5 | 7500 | 0.3581 |
| 0.0106 | 1000.0 | 8000 | 0.3584 |
Framework versions
- PEFT 0.7.1
- Transformers 4.38.0
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Feb 25, 2024
- Updated
- Feb 25, 2024