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---
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
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