---
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: 0.5057

## 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: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.771         | 0.0164 | 10   | 0.6439          |
| 0.5601        | 0.0328 | 20   | 0.5503          |
| 0.5247        | 0.0492 | 30   | 0.5304          |
| 0.5286        | 0.0656 | 40   | 0.5220          |
| 0.483         | 0.0820 | 50   | 0.5168          |
| 0.4794        | 0.0984 | 60   | 0.5133          |
| 0.4826        | 0.1148 | 70   | 0.5104          |
| 0.4665        | 0.1311 | 80   | 0.5084          |
| 0.4703        | 0.1475 | 90   | 0.5064          |
| 0.4899        | 0.1639 | 100  | 0.5057          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1