---
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_mix_2
  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_mix_2

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: 0.2832

## 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.686         | 0.36  | 10   | 1.1952          |
| 1.0961        | 0.71  | 20   | 0.9786          |
| 0.9359        | 1.07  | 30   | 0.8352          |
| 0.7603        | 1.42  | 40   | 0.6454          |
| 0.5832        | 1.78  | 50   | 0.4951          |
| 0.4764        | 2.14  | 60   | 0.4361          |
| 0.4172        | 2.49  | 70   | 0.3998          |
| 0.3911        | 2.85  | 80   | 0.3735          |
| 0.37          | 3.2   | 90   | 0.3564          |
| 0.3408        | 3.56  | 100  | 0.3407          |
| 0.3454        | 3.92  | 110  | 0.3270          |
| 0.3153        | 4.27  | 120  | 0.3142          |
| 0.3025        | 4.63  | 130  | 0.3046          |
| 0.3076        | 4.98  | 140  | 0.2963          |
| 0.2791        | 5.34  | 150  | 0.2903          |
| 0.2907        | 5.7   | 160  | 0.2863          |
| 0.2787        | 6.05  | 170  | 0.2840          |
| 0.284         | 6.41  | 180  | 0.2832          |
| 0.264         | 6.76  | 190  | 0.2832          |
| 0.2734        | 7.12  | 200  | 0.2832          |


### Framework versions

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