|
--- |
|
library_name: peft |
|
license: apache-2.0 |
|
base_model: heegyu/WizardVicuna-open-llama-3b-v2 |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: 0c8de097-3fc4-4f8a-a80d-aa7b888d25aa |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
|
|
# 0c8de097-3fc4-4f8a-a80d-aa7b888d25aa |
|
|
|
This model is a fine-tuned version of [heegyu/WizardVicuna-open-llama-3b-v2](https://huggingface.co/heegyu/WizardVicuna-open-llama-3b-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1037 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.46.0 |
|
- Pytorch 2.5.0+cu124 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
