results
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
Model description
This model is for personal study.
I based on Ali Mobarekati's script, "Fine-Tuning Mistral 7b in Google Colab with QLoRA (complete guide)"
Here's url : https://medium.com/@codersama/fine-tuning-mistral-7b-in-google-colab-with-qlora-complete-guide-60e12d437cca
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2
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Model tree for Eomts/Mistral7b_test
Base model
mistralai/Mistral-7B-Instruct-v0.2