---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: mixtral_niki_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mixtral_niki_3

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: 1.4987

## 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: 8
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5491        | 0.4348 | 10   | 1.5602          |
| 1.5241        | 0.8696 | 20   | 1.5438          |
| 1.4999        | 1.3043 | 30   | 1.5274          |
| 1.4915        | 1.7391 | 40   | 1.5139          |
| 1.4987        | 2.1739 | 50   | 1.5043          |
| 1.4681        | 2.6087 | 60   | 1.4987          |


### Framework versions

- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1