Upload configs.yaml with huggingface_hub
Browse files- configs.yaml +37 -0
configs.yaml
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assistant_tag: gpt
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bf16: 'True'
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content_tag: value
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cutoff_len: '16384'
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dataset: mlfoundations-dev/multiple_samples_sharpening_numina_aime
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dataset_dir: ONLINE
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ddp_timeout: '180000000'
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deepspeed: /opt/ml/code/zero3_offload.json
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do_train: 'True'
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enable_liger_kernel: 'False'
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finetuning_type: full
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formatting: sharegpt
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global_batch_size: '96'
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gradient_accumulation_steps: '6'
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hub_model_id: mlfoundations-dev/multiple_samples_sharpening_numina_aime
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learning_rate: 1e-05
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logging_steps: '1'
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lr_scheduler_type: cosine
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max_samples: '1000000'
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messages: conversations
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model_name_or_path: Qwen/Qwen2.5-7B-Instruct
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num_train_epochs: '3.0'
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output_dir: /opt/ml/model
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overwrite_cache: 'True'
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per_device_train_batch_size: '1'
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plot_loss: 'True'
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preprocessing_num_workers: '16'
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push_to_db: 'True'
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push_to_hub: 'True'
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report_to: wandb
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role_tag: from
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run_name: multiple_samples_sharpening_numina_aime
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save_strategy: epoch
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stage: sft
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template: qwen25
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user_tag: human
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warmup_ratio: '0.1'
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