---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: coinplusfire_llm_2
  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. -->

# coinplusfire_llm_2

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3706

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2985        | 0.99  | 51   | 1.8297          |
| 1.6179        | 1.99  | 103  | 1.6461          |
| 1.4812        | 3.0   | 155  | 1.5621          |
| 1.3993        | 4.0   | 207  | 1.5078          |
| 1.3646        | 4.99  | 258  | 1.4690          |
| 1.2914        | 5.99  | 310  | 1.4270          |
| 1.2542        | 7.0   | 362  | 1.4022          |
| 1.2263        | 8.0   | 414  | 1.3832          |
| 1.2279        | 8.99  | 465  | 1.3720          |
| 1.1812        | 9.86  | 510  | 1.3706          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2