| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| bf16: true | |
| cutoff_len: 2048 | |
| dataset: mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-flash | |
| dataset_dir: ONLINE | |
| ddp_timeout: 180000000 | |
| deepspeed: dcft/train/zero3.json | |
| do_train: true | |
| enable_liger_kernel: false | |
| eval_strategy: epoch | |
| finetuning_type: full | |
| formatting: sharegpt | |
| global_batch_size: 512 | |
| gradient_accumulation_steps: 1 | |
| gradient_checkpointing: true | |
| hub_model_id: mlfoundations-dev/mistral_7b_0-3_oh-dcft-v3.1-gemini-1.5-flash | |
| include_hp: dcft/train/hp_settings/mistral_sft.yaml | |
| learning_rate: 5.0e-06 | |
| logging_steps: 10 | |
| lr_scheduler_kwargs: | |
| min_lr: 5.0e-07 | |
| lr_scheduler_type: cosine_with_min_lr | |
| max_grad_norm: 1 | |
| messages: conversations | |
| model_name_or_path: mistralai/Mistral-7B-v0.3 | |
| neat_packing: true | |
| num_train_epochs: 3.0 | |
| output_dir: /tmp/experiments/train/checkpoints/oh-dcft-v3.1-gemini-1.5-flash | |
| overwrite_cache: true | |
| overwrite_output_dir: true | |
| packing: true | |
| per_device_train_batch_size: 16 | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| push_to_db: true | |
| push_to_hub: true | |
| report_to: wandb | |
| run_name: mistral_7b_0-3_oh-dcft-v3.1-gemini-1.5-flash | |
| save_strategy: epoch | |
| stage: sft | |
| template: mistral | |
| val_size: 0.05 | |
| warmup_ratio: 0.05 | |
| weight_decay: 0.1 | |