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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
- generator
model-index:
- name: mistral_instruct_generation
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. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8488
## 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: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1973 | 0.0305 | 20 | 1.1052 |
| 1.0347 | 0.0610 | 40 | 0.9958 |
| 0.9213 | 0.0915 | 60 | 0.9600 |
| 0.8886 | 0.1220 | 80 | 0.9406 |
| 0.9314 | 0.1524 | 100 | 0.9281 |
| 0.9668 | 0.1829 | 120 | 0.9197 |
| 0.887 | 0.2134 | 140 | 0.9128 |
| 0.8727 | 0.2439 | 160 | 0.9066 |
| 0.8571 | 0.2744 | 180 | 0.9005 |
| 0.8833 | 0.3049 | 200 | 0.8963 |
| 0.8466 | 0.3354 | 220 | 0.8912 |
| 0.9015 | 0.3659 | 240 | 0.8865 |
| 0.8602 | 0.3963 | 260 | 0.8822 |
| 0.8989 | 0.4268 | 280 | 0.8788 |
| 0.8452 | 0.4573 | 300 | 0.8758 |
| 0.8764 | 0.4878 | 320 | 0.8730 |
| 0.8702 | 0.5183 | 340 | 0.8708 |
| 0.8758 | 0.5488 | 360 | 0.8676 |
| 0.8071 | 0.5793 | 380 | 0.8638 |
| 0.8473 | 0.6098 | 400 | 0.8618 |
| 0.8822 | 0.6402 | 420 | 0.8586 |
| 0.8742 | 0.6707 | 440 | 0.8560 |
| 0.8526 | 0.7012 | 460 | 0.8533 |
| 0.8116 | 0.7317 | 480 | 0.8511 |
| 0.8593 | 0.7622 | 500 | 0.8488 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |