|
--- |
|
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 |
