| model_name: pythia-160m | |
| out_dir: out/custom-model | |
| resume: false | |
| data: | |
| class_path: litgpt.data.TextFiles | |
| init_args: | |
| train_data_path: train | |
| seed: 42 | |
| num_workers: 4 | |
| train: | |
| save_interval: 1000 | |
| log_interval: 1 | |
| global_batch_size: 512 | |
| micro_batch_size: 4 | |
| lr_warmup_steps: 2000 | |
| max_tokens: 150000000 | |
| tie_embeddings: false | |
| learning_rate: 0.0004 | |
| weight_decay: 0.1 | |
| beta1: 0.9 | |
| beta2: 0.95 | |
| max_norm: 1.0 | |
| min_lr: 4.0e-05 | |
| eval: | |
| interval: 1000 | |
| max_iters: 100 | |
| devices: auto | |
| tokenizer_dir: checkpoints/EleutherAI/pythia-160m | |
| logger_name: tensorboard | |
| seed: 42 | |