---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: Mistral-7B-Instruct-v0.2-binary_base02
  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-Instruct-v0.2-binary_base02

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2468

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3861        | 0.32  | 50   | 0.5395          |
| 0.4528        | 0.63  | 100  | 0.3798          |
| 0.3429        | 0.95  | 150  | 0.3177          |
| 0.2952        | 1.27  | 200  | 0.3050          |
| 0.2816        | 1.59  | 250  | 0.2726          |
| 0.2661        | 1.9   | 300  | 0.2615          |
| 0.2498        | 2.22  | 350  | 0.2545          |
| 0.2439        | 2.54  | 400  | 0.2565          |
| 0.2471        | 2.86  | 450  | 0.2504          |
| 0.2417        | 3.17  | 500  | 0.2522          |
| 0.2372        | 3.49  | 550  | 0.2481          |
| 0.2312        | 3.81  | 600  | 0.2429          |
| 0.2266        | 4.13  | 650  | 0.2481          |
| 0.2179        | 4.44  | 700  | 0.2459          |
| 0.2221        | 4.76  | 750  | 0.2409          |
| 0.2165        | 5.08  | 800  | 0.2470          |
| 0.2064        | 5.4   | 850  | 0.2464          |
| 0.2062        | 5.71  | 900  | 0.2448          |
| 0.2087        | 6.03  | 950  | 0.2449          |
| 0.1975        | 6.35  | 1000 | 0.2468          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0