metadata
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama2-test-sample
results: []
llama2-test-sample
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
Model description
Created using https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32 and https://medium.com/odicis-data-engineering/language-modelling-fine-tuning-the-llama2-46a947b0720d
Intended uses & limitations
practice
Training and evaluation data meta-llama/Llama-2-7b-hf
meta-llama/Llama-2-7b-hf trained with timdettmers/openassistant-guanaco
Training procedure
SFT
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 20
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3