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sagawa
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chemlm-4.87m

Transformers
PyTorch
bert
chemistry
smiles
molecular-property-prediction
masked-language-modeling
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chemlm-4.87m
File size: 2,864 Bytes
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{
  "add_nsp": false,
  "async_worker": true,
  "attention_dropout_checkpoint": false,
  "current_run_id": "",
  "data_loader_type": "dist",
  "dataset_path": "/data2/sagawatatsuya/chemlm_pretraining2/chemlm_pretraining/dataset/data/samples",
  "deepspeed": true,
  "deepspeed_config": "/data2/sagawatatsuya/chemlm_pretraining2/output/3th_size/3th_size-/epoch2048_hf/deepspeed_config.json",
  "deepspeed_transformer_kernel": false,
  "do_validation": true,
  "ds_config": {
    "bf16": {
      "enabled": true
    },
    "gradient_clipping": 0.0,
    "steps_per_print": 100,
    "train_batch_size": 4096,
    "train_micro_batch_size_per_gpu": 1024,
    "wall_clock_breakdown": false,
    "zero_optimization": {
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      "stage": 0
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  },
  "early_exit_time_marker": 1000000.0,
  "early_stop_eval_loss": 2.1,
  "early_stop_time": 720,
  "finetune_checkpoint_at_end": true,
  "fp16": true,
  "fp16_backend": "ds",
  "fp16_opt": "O2",
  "gelu_checkpoint": false,
  "gradient_accumulation_steps": 4,
  "gradient_clipping": 0.0,
  "job_name": "3th_size",
  "learning_rate": 0.001,
  "load_checkpoint_id": "latest_checkpoint",
  "load_training_checkpoint": "/data2/sagawatatsuya/chemlm_pretraining2/output/3th_size/3th_size-/epoch2048",
  "local_rank": 0,
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  "lr": 0.001,
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  "max_steps": 9223372036854775807,
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  "model_config": {
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    "encoder_ln_mode": "pre-ln",
    "fused_linear_layer": true,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "hidden_size": 256,
    "initializer_range": 0.02,
    "intermediate_size": 1024,
    "layer_norm_type": "apex",
    "layernorm_embedding": false,
    "max_position_embeddings": 512,
    "num_attention_heads": 4,
    "num_hidden_layers": 6,
    "sparse_mask_prediction": true,
    "type_vocab_size": 2,
    "vocab_size": 2362
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  "model_type": "bert-mlm",
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  "normalize_invertible": false,
  "num_epochs": 2048,
  "num_epochs_between_checkpoints": 1,
  "num_workers": 12,
  "output_dir": "/data2/sagawatatsuya/chemlm_pretraining2/output/3th_size",
  "prescale_gradients": false,
  "print_steps": 100,
  "project_name": "chemlm_pretraining_3th_size",
  "scale_cnt_limit": 100,
  "seed": 42,
  "steps_per_print": 100,
  "stochastic_mode": false,
  "tokenizer_name": "ibm-research/MoLFormer-XL-both-10pct",
  "total_training_time": 1000000.0,
  "train_batch_size": 4096,
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  "vocab_size": 2368,
  "wall_clock_breakdown": false
}