zilo-instruct-v2-sft-qlora
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the arcee-ai/Zilo-Filtered-SQL-Instruct-v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6246
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- 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: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7588 | 0.9899 | 49 | 0.7386 |
| 0.6201 | 2.0 | 99 | 0.6307 |
| 0.6087 | 2.9697 | 147 | 0.6246 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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