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

# watch-assistant-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: 0.6518

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9152        | 0.86  | 3    | 0.6749          |
| 0.5722        | 2.0   | 7    | 0.6254          |
| 0.6954        | 2.86  | 10   | 0.6108          |
| 0.4812        | 4.0   | 14   | 0.5827          |
| 0.5823        | 4.86  | 17   | 0.5844          |
| 0.403         | 6.0   | 21   | 0.5804          |
| 0.4876        | 6.86  | 24   | 0.5790          |
| 0.3346        | 8.0   | 28   | 0.6032          |
| 0.4191        | 8.86  | 31   | 0.6084          |
| 0.295         | 10.0  | 35   | 0.6256          |
| 0.3705        | 10.86 | 38   | 0.6355          |
| 0.266         | 12.0  | 42   | 0.6599          |
| 0.2982        | 12.86 | 45   | 0.6518          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2