---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: mixtral_id
  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. -->

# mixtral_id

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7745

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 230

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9422        | 0.15  | 20   | 0.8942          |
| 0.8488        | 0.3   | 40   | 0.8458          |
| 0.8208        | 0.46  | 60   | 0.8204          |
| 0.7981        | 0.61  | 80   | 0.8045          |
| 0.7912        | 0.76  | 100  | 0.7936          |
| 0.7789        | 0.91  | 120  | 0.7852          |
| 0.7289        | 1.07  | 140  | 0.7810          |
| 0.7277        | 1.22  | 160  | 0.7780          |
| 0.7112        | 1.37  | 180  | 0.7758          |
| 0.7142        | 1.52  | 200  | 0.7747          |
| 0.7222        | 1.68  | 220  | 0.7745          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0