mistral_instruct_generation_st_geometry
This model is a fine-tuned version of sid321axn/Mistral-7B-text-to-sql-finetuned on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.2155
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2741 | 4.0 | 20 | 0.1555 |
| 0.0834 | 8.0 | 40 | 0.1331 |
| 0.0236 | 12.0 | 60 | 0.1771 |
| 0.0098 | 16.0 | 80 | 0.2101 |
| 0.0063 | 20.0 | 100 | 0.2155 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.2.2+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1
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Model tree for vishaljangra29/mistral_instruct_generation_st_geometry
Base model
sid321axn/Mistral-7B-text-to-sql-finetuned