mistral_sql_instruct
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.0937
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0921 | 0.9991 | 263 | 0.0937 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 2
Model tree for Sanjaytfg/mistral_sql_instruct
Base model
mistralai/Mistral-7B-v0.1
Adapter
this model