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Runtime error
| name: megatron_gpt_2b | |
| restore_from_path: null # used when starting from a .nemo file | |
| trainer: | |
| devices: 1 | |
| num_nodes: 1 | |
| accelerator: gpu | |
| precision: bf16 | |
| logger: False # logger provided by exp_manager | |
| enable_checkpointing: False | |
| replace_sampler_ddp: False | |
| max_epochs: -1 # PTL default. In practice, max_steps will be reached first. | |
| max_steps: 200 # consumed_samples = global_step * micro_batch_size * data_parallel_size * accumulate_grad_batches | |
| log_every_n_steps: 1 | |
| val_check_interval: 20 | |
| # check_val_every_n_epoch: null | |
| limit_val_batches: 2 | |
| limit_test_batches: 0 | |
| accumulate_grad_batches: 1 # do not modify, grad acc is automatic for training megatron models | |
| gradient_clip_val: 1.0 | |
| benchmark: False | |
| exp_manager: | |
| # set this to save checkpoints | |
| explicit_log_dir: ppo_sentiments_logs | |
| exp_dir: null | |
| name: megatron_gpt_2b_ppo_sentiments | |
| create_tensorboard_logger: False | |
| create_wandb_logger: False | |
| wandb_logger_kwargs: | |
| project: trlxnemo | |
| name: megatron_gpt_2b_ppo_sentiments | |
| resume_if_exists: False | |
| resume_ignore_no_checkpoint: True | |
| # set this to save checkpoints | |
| create_checkpoint_callback: False | |
| checkpoint_callback_params: | |
| monitor: reduced_train_loss | |
| save_top_k: 1 | |
| mode: min | |
| always_save_nemo: False # saves nemo file during validation, not implemented for model parallel | |
| save_nemo_on_train_end: True # not recommended when training large models on clusters with short time limits | |
| filename: 'megatron_gpt-{reduced_train_loss:.2f}-{step}-{consumed_samples}' | |
| model_parallel_size: ${multiply:${model.tensor_model_parallel_size}, ${model.pipeline_model_parallel_size}} | |
| log_step_timing: True | |
| step_timing_kwargs: | |
| sync_cuda: True | |
| buffer_size: 5 | |
| model: | |
| micro_batch_size: 32 | |
| global_batch_size: 256 | |
| tensor_model_parallel_size: 1 | |
| pipeline_model_parallel_size: 1 | |
| virtual_pipeline_model_parallel_size: null | |
| encoder_seq_length: 4096 | |
| max_position_embeddings: 4096 | |
| num_layers: 24 | |
| hidden_size: 2048 | |
| ffn_hidden_size: 5440 | |
| num_attention_heads: 16 | |
| init_method_std: 0.014 | |
| use_scaled_init_method: true | |
| hidden_dropout: 0.0 | |
| attention_dropout: 0.0 | |
| ffn_dropout: 0.0 | |
| kv_channels: null | |
| apply_query_key_layer_scaling: true | |
| normalization: layernorm1p | |
| layernorm_epsilon: 1.0e-05 | |
| do_layer_norm_weight_decay: false | |
| make_vocab_size_divisible_by: 128 | |
| pre_process: true | |
| post_process: true | |
| persist_layer_norm: true | |
| bias: false | |
| activation: fast-swiglu | |
| headscale: false | |
| transformer_block_type: pre_ln | |
| openai_gelu: false | |
| normalize_attention_scores: true | |
| position_embedding_type: rope | |
| rotary_percentage: 0.5 | |
| attention_type: multihead | |
| share_embeddings_and_output_weights: false | |
| tokenizer: | |
| library: sentencepiece | |
| type: null | |
| model: 2053796188904e679f7e2754a2a1f280_mt_nlg_plus_multilingual_ja_zh_the_stack_frac_015_256k.model | |
| delimiter: null | |
| vocab_file: null | |
| merge_file: null | |
| sentencepiece_legacy: false | |
| tokenizer_model: a919114446344e349e73a0d807d9af98_mt_nlg_plus_multilingual_ja_zh_the_stack_frac_015_256k.model | |
| native_amp_init_scale: 4294967296 | |
| native_amp_growth_interval: 1000 | |
| hysteresis: 2 | |
| fp32_residual_connection: false | |
| fp16_lm_cross_entropy: false | |
| megatron_amp_O2: true | |
| grad_allreduce_chunk_size_mb: 125 | |
| grad_div_ar_fusion: true | |
| gradient_accumulation_fusion: false | |
| bias_activation_fusion: false | |
| bias_dropout_add_fusion: false | |
| masked_softmax_fusion: true | |
| seed: 1234 | |
| resume_from_checkpoint: null | |
| use_cpu_initialization: false | |
| onnx_safe: false | |
| apex_transformer_log_level: 30 | |
| gradient_as_bucket_view: true | |
| sync_batch_comm: false | |
| activations_checkpoint_granularity: null | |
| activations_checkpoint_method: null | |
| activations_checkpoint_num_layers: null | |
| num_micro_batches_with_partial_activation_checkpoints: null | |
| activations_checkpoint_layers_per_pipeline: null | |
| sequence_parallel: false | |
| transformer_engine: false | |
| fp8: false | |
| fp8_e4m3: false | |
| fp8_hybrid: false | |
| fp8_margin: 0 | |
| fp8_interval: 1 | |
| fp8_amax_history_len: 1 | |
| fp8_amax_compute_algo: most_recent | |
| reduce_amax: true | |
| use_emha: false | |
| precision: bf16 | |
| target: nemo.collections.nlp.models.language_modeling.megatron_gpt_model.MegatronGPTModel | |
| nemo_version: 1.15.0rc0 | |
| data: | |
| data_prefix: | |
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| data_impl: mmap | |
| splits_string: 99990,8,2 | |
| seq_length: 2048 | |
| skip_warmup: true | |
| num_workers: 0 | |
| dataloader_type: single | |
| reset_position_ids: false | |
| reset_attention_mask: false | |
| eod_mask_loss: True | |
| optim: | |
| name: distributed_fused_adam | |
| lr: 6e-06 | |
| weight_decay: 0.0 | |
| betas: | |
| - 0.9 | |
| - 0.95 | |
| sched: | |
| name: CosineAnnealing | |
| warmup_steps: 0 | |
| constant_steps: 30000 | |
| min_lr: 5e-06 | |