---
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
- generator
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mistral_instruct_generation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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: 1.6532

## 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
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9048        | 0.0990 | 20   | 1.8104          |
| 1.7846        | 0.1980 | 40   | 1.7270          |
| 1.6624        | 0.2970 | 60   | 1.6899          |
| 1.6928        | 0.3960 | 80   | 1.6672          |
| 1.6873        | 0.4950 | 100  | 1.6532          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1