---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- generated_from_trainer
model-index:
- name: final_model-3
  results: []
library_name: peft
---

<!-- 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. -->

# final_model-3

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0656

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4774        | 0.0   | 1    | 2.3519          |
| 2.3907        | 0.01  | 2    | 2.2619          |
| 2.2831        | 0.01  | 3    | 2.1934          |
| 2.3523        | 0.02  | 4    | 2.1535          |
| 2.2008        | 0.02  | 5    | 2.1415          |
| 2.398         | 0.02  | 6    | 2.1336          |
| 2.0323        | 0.03  | 7    | 2.1223          |
| 1.9787        | 0.03  | 8    | 2.1102          |
| 2.2163        | 0.04  | 9    | 2.1011          |
| 2.4075        | 0.04  | 10   | 2.0942          |
| 2.0822        | 0.04  | 11   | 2.0878          |
| 2.3128        | 0.05  | 12   | 2.0823          |
| 1.9674        | 0.05  | 13   | 2.0775          |
| 2.0991        | 0.06  | 14   | 2.0739          |
| 2.1918        | 0.06  | 15   | 2.0707          |
| 2.0037        | 0.06  | 16   | 2.0684          |
| 2.0398        | 0.07  | 17   | 2.0669          |
| 2.1113        | 0.07  | 18   | 2.0661          |
| 1.9206        | 0.08  | 19   | 2.0657          |
| 1.6649        | 0.08  | 20   | 2.0656          |


### Framework versions

- PEFT 0.4.0
- Transformers 4.37.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2