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---
license: mit
---
这是使用[Qwen2.5-14B-Instruct-GPTQ-Int8](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8) 为基底，使用 [spicy-3.1](https://huggingface.co/datasets/zgce/spicy-3.1) 数据训练出来的LoRA
# qwen2.5-14B-scipy
This model is a fine-tuned version of [/root/LLaMA-Factory/models/Qwen2.5-14B-Instruct-GPTQ-Int8](https://huggingface.co//root/LLaMA-Factory/models/Qwen2.5-14B-Instruct-GPTQ-Int8) on the airboros-31_en and the airboros-31_zh datasets.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP
### Training results
{
"epoch": 0.9997864616698697,
"num_input_tokens_seen": 74083488,
"total_flos": 4.6864422704480256e+17,
"train_loss": 0.692321076499046,
"train_runtime": 65496.9949,
"train_samples_per_second": 1.144,
"train_steps_per_second": 0.036
}
### Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.3.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1 |