Upload configs.yaml with huggingface_hub

configs.yaml

@@ -0,0 +1,45 @@
+adam_beta1: 0.9
+adam_beta2: 0.999
+bf16: true
+cutoff_len: 2048
+dataset: mlfoundations-dev/oh_v3-1_only_metamath_40k
+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: 32
+gradient_checkpointing: true
+hub_model_id: mlfoundations-dev/oh_v3-1_only_metamath_40k
+include_hp: dcft/train/hp_settings/hritik.yaml
+learning_rate: 5.0e-06
+logging_steps: 10
+lr_scheduler_type: constant
+max_grad_norm: 1
+messages: conversations
+model_name_or_path: meta-llama/Meta-Llama-3.1-8B
+neat_packing: true
+num_train_epochs: 3.0
+output_dir: experiments/train/checkpoints/oh_v3-1_only_metamath_40k
+overwrite_cache: true
+overwrite_output_dir: true
+packing: true
+per_device_eval_batch_size: 2
+per_device_train_batch_size: 2
+plot_loss: true
+preprocessing_num_workers: 16
+push_to_db: true
+push_to_hub: true
+report_to: wandb
+run_name: oh_v3-1_only_metamath_40k
+save_strategy: epoch
+stage: sft
+template: llama3
+val_size: 0.05
+warmup_ratio: 0.1
+warmup_steps: 1738
+weight_decay: 0.1