safetensors generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: mistral_instruct_classify30k-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_instruct_classify30k-1

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3976

## 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: 0.0002
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5706        | 0.04  | 168  | 0.5734          |
| 0.4594        | 1.04  | 336  | 0.4755          |
| 0.3872        | 2.04  | 504  | 0.4252          |
| 0.3228        | 3.04  | 672  | 0.4019          |
| 0.2801        | 4.04  | 840  | 0.3976          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
