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

# Terry-ft

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: 0.7287

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.5921        | 0.8696 | 5    | 2.0205          |
| 1.5501        | 1.9130 | 11   | 1.4288          |
| 1.1411        | 2.9565 | 17   | 1.0682          |
| 0.8805        | 4.0    | 23   | 0.8740          |
| 0.8972        | 4.8696 | 28   | 0.8145          |
| 0.7032        | 5.9130 | 34   | 0.7677          |
| 0.6435        | 6.9565 | 40   | 0.7422          |
| 0.6246        | 8.0    | 46   | 0.7309          |
| 0.6399        | 8.6957 | 50   | 0.7287          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1