metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: sid321axn/Mistral-7B-text-to-sql-finetuned
datasets:
- generator
model-index:
- name: mistral_instruct_generation
results: []
mistral_instruct_generation
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: 0.0869
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 |
|---|---|---|---|
| 0.3337 | 2.5 | 20 | 0.1577 |
| 0.0427 | 5.0 | 40 | 0.0759 |
| 0.0195 | 7.5 | 60 | 0.0768 |
| 0.011 | 10.0 | 80 | 0.0795 |
| 0.0065 | 12.5 | 100 | 0.0869 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1