metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: mistral7bit-lora-sql
results: []
mistral7bit-lora-sql
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3640
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1399
- 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_steps: 100
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7533 | 0.06 | 20 | 0.5169 |
| 0.4806 | 0.11 | 40 | 0.4338 |
| 0.4285 | 0.17 | 60 | 0.4055 |
| 0.403 | 0.23 | 80 | 0.3944 |
| 0.3969 | 0.28 | 100 | 0.3869 |
| 0.3898 | 0.34 | 120 | 0.3813 |
| 0.3836 | 0.4 | 140 | 0.3766 |
| 0.3786 | 0.45 | 160 | 0.3726 |
| 0.3708 | 0.51 | 180 | 0.3675 |
| 0.3681 | 0.56 | 200 | 0.3643 |
| 0.3622 | 0.62 | 220 | 0.3631 |
| 0.3626 | 0.68 | 240 | 0.3640 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2