metadata
base_model: Qwen/Qwen2-7B-Instruct
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_08-16-2
results: []
train_08-16-2
This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct on the cangjie dataset. It achieves the following results on the evaluation set:
- Loss: 0.2599
- Num Input Tokens Seen: 100663296
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.1.0.post2+cxx11.abi
- Datasets 2.20.0
- Tokenizers 0.19.1