peft safetensors generated_from_trainer base_model:mistralai/Mixtral-8x7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: mixtral-id-finetune
  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-finetune

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1219

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2409        | 0.8   | 100  | 1.2049          |
| 0.8688        | 1.61  | 200  | 0.9088          |
| 0.4839        | 2.41  | 300  | 0.7087          |
| 0.3185        | 3.21  | 400  | 0.4974          |
| 0.2613        | 4.02  | 500  | 0.3109          |
| 0.1669        | 4.82  | 600  | 0.2226          |
| 0.1152        | 5.62  | 700  | 0.1797          |
| 0.0965        | 6.43  | 800  | 0.1413          |
| 0.072         | 7.23  | 900  | 0.1307          |
| 0.0822        | 8.03  | 1000 | 0.1219          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0