---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- nthakur/deita-10k-v0-instruct
- nthakur/Bactrian-X-23-lang-instruct
- nthakur/GSM8KInstruct-Parallel-instruct
- nthakur/ultrachat-200k-instruct
base_model: unsloth/mistral-7b-v0.2
model-index:
- name: mistral-7b-v0.2-sft-mix-23rd-mar-v0
  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. -->

# mistral-7b-v0.2-sft-mix-23rd-mar-v0

This model is a fine-tuned version of [unsloth/mistral-7b-v0.2](https://huggingface.co/unsloth/mistral-7b-v0.2) on the nthakur/deita-10k-v0-instruct, the nthakur/Bactrian-X-23-lang-instruct, the nthakur/GSM8KInstruct-Parallel-instruct and the nthakur/ultrachat-200k-instruct datasets.
It achieves the following results on the evaluation set:
- Loss: 0.9631

## 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: 3e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 48
- total_eval_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.918         | 1.0   | 5170 | 0.9631          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2