---
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_dolly_reverse_Inst
  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_dolly_reverse_Inst

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: 1.4407

## 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: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8058        | 0.05  | 10   | 1.9081          |
| 1.7565        | 0.1   | 20   | 1.8383          |
| 1.7155        | 0.15  | 30   | 1.7551          |
| 1.6477        | 0.2   | 40   | 1.7002          |
| 1.5887        | 0.25  | 50   | 1.6647          |
| 1.5521        | 0.3   | 60   | 1.6351          |
| 1.5184        | 0.35  | 70   | 1.6105          |
| 1.5338        | 0.4   | 80   | 1.5860          |
| 1.4718        | 0.45  | 90   | 1.5600          |
| 1.4739        | 0.5   | 100  | 1.5341          |
| 1.4525        | 0.55  | 110  | 1.5110          |
| 1.4125        | 0.6   | 120  | 1.4896          |
| 1.4118        | 0.65  | 130  | 1.4735          |
| 1.3921        | 0.7   | 140  | 1.4631          |
| 1.3861        | 0.75  | 150  | 1.4553          |
| 1.3765        | 0.8   | 160  | 1.4497          |
| 1.3664        | 0.85  | 170  | 1.4460          |
| 1.3783        | 0.9   | 180  | 1.4429          |
| 1.3544        | 0.95  | 190  | 1.4413          |
| 1.3743        | 1.0   | 200  | 1.4407          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0