---
license: mit
base_model: TheBloke/zephyr-7B-alpha-GPTQ
tags:
- generated_from_trainer
model-index:
- name: zephy_finetuned_nvidiaQA75k_chatbot
  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. -->

# zephy_finetuned_nvidiaQA75k_chatbot

This model is a fine-tuned version of [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5038

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 7000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6115        | 0.13  | 1000 | 1.6073          |
| 1.5629        | 0.27  | 2000 | 1.5688          |
| 1.5342        | 0.4   | 3000 | 1.5423          |
| 1.5325        | 0.54  | 4000 | 1.5246          |
| 1.5011        | 0.67  | 5000 | 1.5118          |
| 1.511         | 0.81  | 6000 | 1.5053          |
| 1.5           | 0.94  | 7000 | 1.5038          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0