train_2024-06-06-20-45-21
This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct-GPTQ-Int8 on the train 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for weiiv/term_Qwen2_7_json_lora
Base model
Qwen/Qwen2-7B
Finetuned
Qwen/Qwen2-7B-Instruct
Quantized
Qwen/Qwen2-7B-Instruct-GPTQ-Int8