---
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_base03
  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_base03

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: 0.2790

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5198        | 0.04  | 50   | 0.6078          |
| 0.5143        | 0.08  | 100  | 0.4729          |
| 0.4187        | 0.12  | 150  | 0.3775          |
| 0.3533        | 0.16  | 200  | 0.3413          |
| 0.3344        | 0.2   | 250  | 0.3247          |
| 0.322         | 0.24  | 300  | 0.3184          |
| 0.3129        | 0.28  | 350  | 0.3106          |
| 0.3062        | 0.32  | 400  | 0.3032          |
| 0.2985        | 0.36  | 450  | 0.2989          |
| 0.301         | 0.4   | 500  | 0.2949          |
| 0.2934        | 0.44  | 550  | 0.2933          |
| 0.2921        | 0.48  | 600  | 0.2914          |
| 0.2874        | 0.52  | 650  | 0.2882          |
| 0.2863        | 0.56  | 700  | 0.2875          |
| 0.284         | 0.6   | 750  | 0.2841          |
| 0.2841        | 0.64  | 800  | 0.2829          |
| 0.2797        | 0.68  | 850  | 0.2818          |
| 0.2815        | 0.72  | 900  | 0.2804          |
| 0.2835        | 0.76  | 950  | 0.2790          |
| 0.2777        | 0.8   | 1000 | 0.2790          |


### 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