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backbone_config_path: /notebooks/models/exp492 |
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best_model_path: /notebooks/models/exp492/models/fold_0_10_best.pth |
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checkpoint_path: /notebooks/models/exp492/chkp/fold_0_10_chkp.pth |
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config_path: /notebooks/models/exp492/config.yaml |
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criterion: |
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criterion_type: BCEWithLogitsLoss |
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mcrmse_loss: |
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weights: |
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- 0.5 |
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- 0.5 |
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mse_loss: |
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reduction: mean |
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rmse_loss: |
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eps: 1.0e-09 |
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reduction: mean |
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smooth_l1_loss: |
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beta: 0.1 |
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reduction: mean |
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data_dir: /notebooks/data |
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dataset: |
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bucket_batch_sampler: |
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bucket_size: 400 |
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noise_factor: 0.2 |
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folds: true |
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labels: |
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- generated |
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max_length: 1024 |
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sampler_type: StratifiedBatchSampler |
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train_batch_size: 6 |
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train_sources: |
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- daigt |
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- persuade |
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- persuade_gpt |
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- persuade_humanized_1 |
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- persuade_gpt_patially_rewritten |
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- persuade_gpt_patially_rewritten_05 |
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- persuade_humanized_easy_1 |
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- daigt_gpt_patially_rewritten |
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- llama-mistral-partially-r |
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- moth |
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- books |
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- neural-chat-7b |
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- nbroad |
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valid_batch_size: 6 |
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valid_sources: |
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- none |
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debug: false |
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exp_name: exp492_seed10 |
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external_dir: /notebooks/data/external |
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fold: 0 |
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interim_dir: /notebooks/data/interim |
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log_path: /notebooks/models/exp492/logs/fold-0.log |
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logger: |
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job_type: training |
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project: DAIGT-AIE |
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train_print_frequency: 100 |
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use_wandb: true |
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valid_print_frequency: 100 |
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model: |
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architecture_type: CustomModel |
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attention_dropout: 0.1 |
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backbone_type: microsoft/deberta-v3-large |
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dropout: 0.05 |
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freeze_embeddings: true |
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freeze_n_layers: 23 |
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gem_pooling: |
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eps: 1.0e-06 |
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p: 3 |
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gradient_checkpointing: false |
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load_embeddings: true |
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load_head: false |
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load_n_layers: 24 |
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load_parts: true |
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pooling_type: MeanPooling |
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reinitialize_n_layers: 0 |
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state_from_model: exp489 |
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models_dir: /notebooks/models |
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optimizer: |
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beta1: 0.9 |
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beta2: 0.999 |
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decoder_lr: 2.0e-05 |
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embeddings_lr: 2.0e-05 |
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encoder_lr: 2.0e-05 |
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eps: 1.0e-06 |
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group_lr_multiplier: 1 |
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n_groups: 1 |
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weight_decay: 0.01 |
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processed_dir: /notebooks/data/processed |
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raw_dir: /notebooks/data/raw |
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run_dir: /notebooks/models/exp492 |
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run_id: exp492_seed10_fold0 |
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run_name: exp492_seed10_fold0 |
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scheduler: |
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cosine_schedule_with_warmup: |
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n_cycles: 0.5 |
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n_warmup_steps: 0 |
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type: cosine_schedule_with_warmup |
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seed: 10 |
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tokenizer: null |
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tokenizer_path: /notebooks/models/exp492/tokenizer |
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training: |
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apex: true |
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epochs: 1 |
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evaluate_n_times_per_epoch: 1 |
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gradient_accumulation_steps: 1 |
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max_grad_norm: 1000 |
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