---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ
model-index:
- name: amadeus_v1
  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. -->

# amadeus_v1

This model is a fine-tuned version of [TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ](https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3259

## 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: 0.002
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2904        | 1.0   | 75   | 3.2025          |
| 3.0004        | 2.0   | 150  | 3.1939          |
| 2.6935        | 3.0   | 225  | 3.2721          |
| 2.4059        | 4.0   | 300  | 3.3634          |
| 2.1472        | 5.0   | 375  | 3.5849          |
| 1.9307        | 6.0   | 450  | 3.7793          |
| 1.7398        | 7.0   | 525  | 3.8648          |
| 1.625         | 8.0   | 600  | 4.0542          |
| 1.5137        | 9.0   | 675  | 4.2189          |
| 1.4398        | 10.0  | 750  | 4.3259          |


### Framework versions

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