---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
datasets:
- conala
model-index:
- name: pythonexcel
  results: []
---

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

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 the conala dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8689

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5879        | 0.99  | 148  | 2.2851          |
| 2.1391        | 2.0   | 297  | 2.2367          |
| 1.965         | 3.0   | 446  | 2.2578          |
| 1.8145        | 4.0   | 595  | 2.3154          |
| 1.6989        | 4.99  | 743  | 2.3626          |
| 1.5826        | 6.0   | 892  | 2.4436          |
| 1.4981        | 7.0   | 1041 | 2.5986          |
| 1.4253        | 8.0   | 1190 | 2.6764          |
| 1.3716        | 8.99  | 1338 | 2.7948          |
| 1.3224        | 9.95  | 1480 | 2.8689          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2