---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.1
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: 1.0225

## 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: 2.5e-05
- train_batch_size: 32
- 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1172        | 1.54  | 20   | 1.9621          |
| 1.7921        | 3.08  | 40   | 1.6326          |
| 1.468         | 4.62  | 60   | 1.3290          |
| 1.2425        | 6.15  | 80   | 1.1762          |
| 1.1558        | 7.69  | 100  | 1.1167          |
| 1.0912        | 9.23  | 120  | 1.0837          |
| 1.0749        | 10.77 | 140  | 1.0632          |
| 1.0534        | 12.31 | 160  | 1.0472          |
| 1.0213        | 13.85 | 180  | 1.0332          |
| 0.9962        | 15.38 | 200  | 1.0225          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1