---
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mistral_instruct_generation2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_instruct_generation2

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1836

## 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: 2e-05
- 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: 10
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1924        | 1.0   | 373  | 0.2022          |
| 0.182         | 2.0   | 746  | 0.1896          |
| 0.1792        | 3.0   | 1119 | 0.1864          |
| 0.177         | 4.0   | 1492 | 0.1850          |
| 0.174         | 5.0   | 1865 | 0.1842          |
| 0.1723        | 6.0   | 2238 | 0.1836          |


### Framework versions

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