cuong1692001/Terminal-dependency_management

1---2library_name: transformers3license: other4base_model: Qwen/Qwen3-8B5tags:6- llama-factory7- full8- generated_from_trainer9model-index:10- name: Terminal-dependency_management11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# Terminal-dependency_management18 19This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the nemotron_easy_dependency_management and the nemotron_medium_dependency_management datasets.20 21## Model description22 23More information needed24 25## Intended uses & limitations26 27More information needed28 29## Training and evaluation data30 31More information needed32 33## Training procedure34 35### Training hyperparameters36 37The following hyperparameters were used during training:38- learning_rate: 1e-0539- train_batch_size: 140- eval_batch_size: 841- seed: 4242- distributed_type: multi-GPU43- num_devices: 444- total_train_batch_size: 445- total_eval_batch_size: 3246- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments47- lr_scheduler_type: cosine48- num_epochs: 2.049 50### Training results51 52 53 54### Framework versions55 56- Transformers 4.56.257- Pytorch 2.7.1+cu12658- Datasets 4.0.059- Tokenizers 0.22.160