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---
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mistral7bit-lora-sql
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral7bit-lora-sql
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3405
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.7523 | 0.0565 | 20 | 0.5037 |
| 0.4763 | 0.1129 | 40 | 0.4221 |
| 0.4231 | 0.1694 | 60 | 0.3944 |
| 0.4051 | 0.2258 | 80 | 0.3833 |
| 0.396 | 0.2823 | 100 | 0.3756 |
| 0.3885 | 0.3387 | 120 | 0.3717 |
| 0.3829 | 0.3952 | 140 | 0.3651 |
| 0.3752 | 0.4517 | 160 | 0.3605 |
| 0.3752 | 0.5081 | 180 | 0.3565 |
| 0.3688 | 0.5646 | 200 | 0.3551 |
| 0.3655 | 0.6210 | 220 | 0.3530 |
| 0.3596 | 0.6775 | 240 | 0.3472 |
| 0.3565 | 0.7339 | 260 | 0.3460 |
| 0.3556 | 0.7904 | 280 | 0.3448 |
| 0.3553 | 0.8469 | 300 | 0.3440 |
| 0.3496 | 0.9033 | 320 | 0.3424 |
| 0.3446 | 0.9598 | 340 | 0.3405 |
| 0.3328 | 1.0162 | 360 | 0.3402 |
| 0.3035 | 1.0727 | 380 | 0.3405 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1 |