---
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: 4.5349

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4924        | 1.0   | 75   | 3.2433          |
| 3.1246        | 2.0   | 150  | 3.2148          |
| 2.8655        | 3.0   | 225  | 3.2529          |
| 2.6201        | 4.0   | 300  | 3.3286          |
| 2.4044        | 5.0   | 375  | 3.4331          |
| 2.2106        | 6.0   | 450  | 3.5828          |
| 2.0348        | 7.0   | 525  | 3.7128          |
| 1.9341        | 8.0   | 600  | 3.7719          |
| 1.7997        | 9.0   | 675  | 3.8238          |
| 1.7071        | 10.0  | 750  | 3.9716          |
| 1.6537        | 11.0  | 825  | 4.0883          |
| 1.5708        | 12.0  | 900  | 4.1066          |
| 1.5302        | 13.0  | 975  | 4.1778          |
| 1.4895        | 14.0  | 1050 | 4.2198          |
| 1.4586        | 15.0  | 1125 | 4.2890          |
| 1.4211        | 16.0  | 1200 | 4.3352          |
| 1.3721        | 17.0  | 1275 | 4.4004          |
| 1.3637        | 18.0  | 1350 | 4.4707          |
| 1.3597        | 19.0  | 1425 | 4.5228          |
| 1.3362        | 20.0  | 1500 | 4.5349          |


### Framework versions

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