| ## Overview | |
| T5-Base v1.1 model trained to generate hypotheses given a premise and a label. Below the settings used to train it. | |
| ```yaml | |
| Experiment configurations | |
| ├── datasets | |
| │ └── snli_train: | |
| │ dataset_name: snli | |
| │ dataset_config_name: null | |
| │ cache_dir: null | |
| │ input_fields: | |
| │ - premise | |
| │ - hypothesis | |
| │ target_field: label | |
| │ train_subset_names: null | |
| │ val_subset_names: validation | |
| │ test_subset_names: none | |
| │ train_val_split: null | |
| │ limit_train_samples: null | |
| │ limit_val_samples: null | |
| │ limit_test_samples: null | |
| │ sampling_kwargs: | |
| │ sampling_strategy: random | |
| │ seed: 42 | |
| │ replace: false | |
| │ align_labels_with_mapping: null | |
| │ avoid_consistency_check: false | |
| │ predict_label_mapping: null | |
| │ anli_train: | |
| │ dataset_name: anli | |
| │ dataset_config_name: null | |
| │ cache_dir: null | |
| │ input_fields: | |
| │ - premise | |
| │ - hypothesis | |
| │ target_field: label | |
| │ train_subset_names: | |
| │ - train_r1 | |
| │ - train_r2 | |
| │ - train_r3 | |
| │ val_subset_names: | |
| │ - dev_r1 | |
| │ - dev_r2 | |
| │ - dev_r3 | |
| │ test_subset_names: none | |
| │ train_val_split: null | |
| │ limit_train_samples: null | |
| │ limit_val_samples: null | |
| │ limit_test_samples: null | |
| │ sampling_kwargs: | |
| │ sampling_strategy: random | |
| │ seed: 42 | |
| │ replace: false | |
| │ align_labels_with_mapping: null | |
| │ avoid_consistency_check: false | |
| │ predict_label_mapping: null | |
| │ mnli_train: | |
| │ dataset_name: multi_nli | |
| │ dataset_config_name: null | |
| │ cache_dir: null | |
| │ input_fields: | |
| │ - premise | |
| │ - hypothesis | |
| │ target_field: label | |
| │ train_subset_names: null | |
| │ val_subset_names: validation_matched | |
| │ test_subset_names: none | |
| │ train_val_split: null | |
| │ limit_train_samples: null | |
| │ limit_val_samples: null | |
| │ limit_test_samples: null | |
| │ sampling_kwargs: | |
| │ sampling_strategy: random | |
| │ seed: 42 | |
| │ replace: false | |
| │ align_labels_with_mapping: null | |
| │ avoid_consistency_check: false | |
| │ predict_label_mapping: null | |
| │ snli: | |
| │ dataset_name: snli | |
| │ dataset_config_name: null | |
| │ cache_dir: null | |
| │ input_fields: | |
| │ - premise | |
| │ - hypothesis | |
| │ target_field: label | |
| │ train_subset_names: none | |
| │ val_subset_names: none | |
| │ test_subset_names: null | |
| │ train_val_split: null | |
| │ limit_train_samples: null | |
| │ limit_val_samples: null | |
| │ limit_test_samples: null | |
| │ sampling_kwargs: | |
| │ sampling_strategy: random | |
| │ seed: 42 | |
| │ replace: false | |
| │ align_labels_with_mapping: null | |
| │ avoid_consistency_check: false | |
| │ predict_label_mapping: null | |
| │ anli: | |
| │ dataset_name: anli | |
| │ dataset_config_name: null | |
| │ cache_dir: null | |
| │ input_fields: | |
| │ - premise | |
| │ - hypothesis | |
| │ target_field: label | |
| │ train_subset_names: none | |
| │ val_subset_names: none | |
| │ test_subset_names: | |
| │ - test_r1 | |
| │ - test_r2 | |
| │ - test_r3 | |
| │ train_val_split: null | |
| │ limit_train_samples: null | |
| │ limit_val_samples: null | |
| │ limit_test_samples: null | |
| │ sampling_kwargs: | |
| │ sampling_strategy: random | |
| │ seed: 42 | |
| │ replace: false | |
| │ align_labels_with_mapping: null | |
| │ avoid_consistency_check: false | |
| │ predict_label_mapping: null | |
| │ mnli: | |
| │ dataset_name: multi_nli | |
| │ dataset_config_name: null | |
| │ cache_dir: null | |
| │ input_fields: | |
| │ - premise | |
| │ - hypothesis | |
| │ target_field: label | |
| │ train_subset_names: none | |
| │ val_subset_names: none | |
| │ test_subset_names: validation_mismatched | |
| │ train_val_split: null | |
| │ limit_train_samples: null | |
| │ limit_val_samples: null | |
| │ limit_test_samples: null | |
| │ sampling_kwargs: | |
| │ sampling_strategy: random | |
| │ seed: 42 | |
| │ replace: false | |
| │ align_labels_with_mapping: null | |
| │ avoid_consistency_check: false | |
| │ predict_label_mapping: null | |
| │ | |
| ├── data | |
| │ └── _target_: src.task.nli.data.NLIGenerationData.from_config | |
| │ main_dataset_name: null | |
| │ use_additional_as_test: null | |
| │ dataloader: | |
| │ batch_size: 96 | |
| │ eval_batch_size: 96 | |
| │ num_workers: 8 | |
| │ pin_memory: true | |
| │ drop_last: false | |
| │ persistent_workers: false | |
| │ shuffle: true | |
| │ seed_dataloader: 42 | |
| │ replacement: false | |
| │ processing: | |
| │ preprocessing_num_workers: 8 | |
| │ preprocessing_batch_size: 1000 | |
| │ load_from_cache_file: true | |
| │ padding: longest | |
| │ truncation: longest_first | |
| │ max_source_length: 128 | |
| │ max_target_length: 128 | |
| │ template: 'premise: $premise $label hypothesis: ' | |
| │ tokenizer: | |
| │ _target_: transformers.AutoTokenizer.from_pretrained | |
| │ pretrained_model_name_or_path: pietrolesci/t5-v1_1-base_nli_gen | |
| │ use_fast: true | |
| │ | |
| ├── task | |
| │ └── optimizer: | |
| │ name: Adafactor | |
| │ lr: 0.001 | |
| │ weight_decay: 0.0 | |
| │ no_decay: | |
| │ - bias | |
| │ - LayerNorm.weight | |
| │ decay_rate: -0.8 | |
| │ clip_threshold: 1.0 | |
| │ relative_step: false | |
| │ scale_parameter: false | |
| │ warmup_init: false | |
| │ scheduler: | |
| │ name: constant_schedule | |
| │ model: | |
| │ model_name_or_path: pietrolesci/t5-v1_1-base_nli_gen | |
| │ checkpoint_path: null | |
| │ freeze: false | |
| │ seed_init_weight: 42 | |
| │ _target_: src.task.nli.NLIGenerationTask.from_config | |
| │ generation: | |
| │ generation_max_length: 128 | |
| │ generation_min_length: 3 | |
| │ do_sample: true | |
| │ early_stopping: false | |
| │ num_beams: 1 | |
| │ temperature: 1.0 | |
| │ top_k: 50 | |
| │ top_p: 0.95 | |
| │ repetition_penalty: null | |
| │ length_penalty: null | |
| │ no_repeat_ngram_size: null | |
| │ encoder_no_repeat_ngram_size: null | |
| │ num_return_sequences: 1 | |
| │ max_time: null | |
| │ max_new_tokens: null | |
| │ decoder_start_token_id: null | |
| │ use_cache: null | |
| │ num_beam_groups: null | |
| │ diversity_penalty: null | |
| │ | |
| ├── trainer | |
| │ └── _target_: pytorch_lightning.Trainer | |
| │ callbacks: | |
| │ lr_monitor: | |
| │ _target_: pytorch_lightning.callbacks.LearningRateMonitor | |
| │ logging_interval: step | |
| │ log_momentum: false | |
| │ model_checkpoint: | |
| │ _target_: pytorch_lightning.callbacks.ModelCheckpoint | |
| │ dirpath: ./checkpoints/ | |
| │ filename: nli_generator_sma-epoch={epoch:02d}-val_loss={val/aggregat | |
| │ monitor: val/aggregated_loss | |
| │ mode: min | |
| │ verbose: false | |
| │ save_last: true | |
| │ save_top_k: 1 | |
| │ auto_insert_metric_name: false | |
| │ save_on_train_epoch_end: false | |
| │ rich_model_summary: | |
| │ _target_: pytorch_lightning.callbacks.RichModelSummary | |
| │ max_depth: 1 | |
| │ log_grad_norm: | |
| │ _target_: src.core.callbacks.LogGradNorm | |
| │ norm_type: 2 | |
| │ group_separator: / | |
| │ only_total: true | |
| │ on_step: true | |
| │ on_epoch: false | |
| │ prog_bar: true | |
| │ log_generated_text: | |
| │ _target_: src.core.callbacks.GenerateAndLogText | |
| │ dirpath: ./generated_text | |
| │ type: generated_text | |
| │ pop_keys_after_logging: true | |
| │ on_train: false | |
| │ on_validation: false | |
| │ on_test: true | |
| │ log_to_wandb: true | |
| │ wandb_log_dataset_sizes: | |
| │ _target_: src.core.callbacks.WandbLogDatasetSizes | |
| │ logger: | |
| │ wandb: | |
| │ _target_: pytorch_lightning.loggers.WandbLogger | |
| │ project: nli_debiasing | |
| │ entity: team_brushino | |
| │ name: nli_generator_sma | |
| │ save_dir: ./ | |
| │ offline: false | |
| │ log_model: false | |
| │ group: generator | |
| │ job_type: genearator_training | |
| │ tags: | |
| │ - nli_generator_sma | |
| │ - seed=42 | |
| │ - seed_dataloader=42 | |
| │ notes: nli_generator_sma_time=01-37-04 | |
| │ enable_checkpointing: true | |
| │ enable_progress_bar: true | |
| │ enable_model_summary: true | |
| │ gradient_clip_val: 6 | |
| │ gradient_clip_algorithm: null | |
| │ accelerator: gpu | |
| │ devices: auto | |
| │ gpus: null | |
| │ auto_select_gpus: true | |
| │ accumulate_grad_batches: 1 | |
| │ max_epochs: 2 | |
| │ min_epochs: 1 | |
| │ max_steps: -1 | |
| │ min_steps: null | |
| │ max_time: null | |
| │ num_sanity_val_steps: 2 | |
| │ overfit_batches: 0.0 | |
| │ fast_dev_run: false | |
| │ limit_train_batches: 1.0 | |
| │ limit_val_batches: 1.0 | |
| │ limit_test_batches: 1.0 | |
| │ profiler: null | |
| │ detect_anomaly: false | |
| │ deterministic: false | |
| │ check_val_every_n_epoch: 1 | |
| │ val_check_interval: 0.5 | |
| │ log_every_n_steps: 1 | |
| │ move_metrics_to_cpu: false | |
| │ | |
| └── training | |
| └── run_val_before_fit: false | |
| run_val_after_fit: false | |
| run_test_before_fit: false | |
| run_test_after_fit: true | |
| lr: 0.001 | |
| seed: 42 | |
| show_batch: false | |
| batch_size: 96 | |
| eval_batch_size: 96 | |
| num_workers: 8 | |
| pin_memory: true | |
| drop_last: false | |
| persistent_workers: false | |
| shuffle: true | |
| seed_dataloader: 42 | |
| ignore_warnings: true | |
| experiment_name: nli_generator_sma | |
| ``` |