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Llama-3.2-1B-Instruct-GerarSQL-v1
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1091
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 14
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4225 | 0.2334 | 250 | 0.2269 |
| 0.1487 | 0.4668 | 500 | 0.1367 |
| 0.1091 | 0.7002 | 750 | 0.1152 |
| 0.0951 | 0.9336 | 1000 | 0.1091 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for lleticiasilvaa/Llama-3.2-1B-Instruct-GerarSQL-v1-1071-steps-without
Base model
meta-llama/Llama-3.2-1B-Instruct