peft safetensors generated_from_trainer base_model:mistralai/Mixtral-8x7B-Instruct-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
- name: mixtral-nek-finetune_0.3_all_data_4_lines
  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-nek-finetune_0.3_all_data_4_lines

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8051

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8456        | 0.09  | 1000  | 0.8573          |
| 0.838         | 0.18  | 2000  | 0.8426          |
| 0.8373        | 0.27  | 3000  | 0.8341          |
| 0.8168        | 0.36  | 4000  | 0.8274          |
| 0.8163        | 0.44  | 5000  | 0.8222          |
| 0.8079        | 0.53  | 6000  | 0.8181          |
| 0.8089        | 0.62  | 7000  | 0.8140          |
| 0.8119        | 0.71  | 8000  | 0.8108          |
| 0.8007        | 0.8   | 9000  | 0.8082          |
| 0.809         | 0.89  | 10000 | 0.8062          |
| 0.8084        | 0.98  | 11000 | 0.8051          |


### Framework versions

- PEFT 0.8.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1