---
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: 1.1450

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2919        | 0.99  | 51   | 1.8319          |
| 1.6082        | 1.99  | 103  | 1.6426          |
| 1.4689        | 3.0   | 155  | 1.5522          |
| 1.3821        | 4.0   | 207  | 1.4883          |
| 1.3406        | 4.99  | 258  | 1.4421          |
| 1.2592        | 5.99  | 310  | 1.3900          |
| 1.2115        | 7.0   | 362  | 1.3508          |
| 1.1705        | 8.0   | 414  | 1.3213          |
| 1.1555        | 8.99  | 465  | 1.2913          |
| 1.1031        | 9.99  | 517  | 1.2629          |
| 1.0727        | 11.0  | 569  | 1.2418          |
| 1.0481        | 12.0  | 621  | 1.2208          |
| 1.0466        | 12.99 | 672  | 1.1971          |
| 1.006         | 13.99 | 724  | 1.1864          |
| 0.989         | 15.0  | 776  | 1.1732          |
| 0.9719        | 16.0  | 828  | 1.1589          |
| 0.979         | 16.99 | 879  | 1.1535          |
| 0.9494        | 17.99 | 931  | 1.1469          |
| 0.9401        | 19.0  | 983  | 1.1449          |
| 0.9302        | 19.71 | 1020 | 1.1450          |


### Framework versions

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