---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
- name: mixtral-rap-finetune_0.6_test_by_part_themes_replace
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mixtral-rap-finetune_0.6_test_by_part_themes_replace

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: 1.5372

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6279        | 0.14  | 1000 | 1.6172          |
| 1.5675        | 0.27  | 2000 | 1.5896          |
| 1.5138        | 0.41  | 3000 | 1.5719          |
| 1.5578        | 0.55  | 4000 | 1.5593          |
| 1.5244        | 0.68  | 5000 | 1.5492          |
| 1.5893        | 0.82  | 6000 | 1.5417          |
| 1.5488        | 0.96  | 7000 | 1.5372          |


### Framework versions

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