metadata
library_name: peft
license: cc-by-sa-4.0
base_model: defog/sqlcoder-7b-2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: bc53e5d4-b97f-4b35-8191-2add28a51b13
results: []
bc53e5d4-b97f-4b35-8191-2add28a51b13
This model is a fine-tuned version of defog/sqlcoder-7b-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2131
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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0012 | 1 | 1.9877 |
| 1.4293 | 0.0591 | 50 | 1.4429 |
| 1.3111 | 0.1183 | 100 | 1.3855 |
| 1.313 | 0.1774 | 150 | 1.3495 |
| 1.2525 | 0.2365 | 200 | 1.3043 |
| 1.2891 | 0.2957 | 250 | 1.2808 |
| 1.1971 | 0.3548 | 300 | 1.2492 |
| 1.2022 | 0.4140 | 350 | 1.2360 |
| 1.2145 | 0.4731 | 400 | 1.2228 |
| 1.2405 | 0.5322 | 450 | 1.2150 |
| 1.226 | 0.5914 | 500 | 1.2131 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1