zilo-instruct-v2-sft-filtered
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: 0.5474
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|
| 1.8602 | 1.0 | 7 | 1.3280 |
| 2.9102 | 2.0 | 14 | 0.6256 |
| 0.5329 | 3.0 | 21 | 0.5474 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1