metadata
license: other
base_model: Qwen/Qwen2-0.5B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: train_2024-06-08-23-23-14
results: []
train_2024-06-08-23-23-14
This model is a fine-tuned version of Qwen/Qwen2-0.5B on the longzu dataset.
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 35.0
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1