| { | |
| "_name_or_path": "/home/nlp/kleinay/tmp/t5-tst-summarization/qanom/qanom/linearization/permutate_sample_num_of_qas", | |
| "append_verb_form": true, | |
| "architectures": [ | |
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| ], | |
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| "d_kv": 64, | |
| "d_model": 512, | |
| "debug_mode": false, | |
| "decoder_start_token_id": 0, | |
| "description": "qanom baseline with output_linearization=permutate_sample_num_of_qas, with best hyperparamters for 'by_answer_order' (30ep, accum=8) ", | |
| "dir_switch": "qanom/linearization/permutate_sample_num_of_qas", | |
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| "dropout_rate": 0.15, | |
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| "gradient_accumulation_steps": 8, | |
| "initializer_factor": 1.0, | |
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| "layer_norm_epsilon": 1e-06, | |
| "learning_rate": 0.001, | |
| "load_best_model_at_end": true, | |
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| "logging_strategy": "steps", | |
| "metric_for_best_model": "eval_loss", | |
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| "overwrite_output_dir": true, | |
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| "predicate_marker_type": "generic", | |
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| "qanom_joint_factor": 1, | |
| "save_steps": 500, | |
| "save_strategy": "steps", | |
| "seed": 44, | |
| "source_prefix": "parse: ", | |
| "train_dataset": "qanom", | |
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| "use_bilateral_predicate_marker": true | |
| }, | |
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| "save_strategy": "steps", | |
| "seed": 44, | |
| "source_prefix": "parse: ", | |
| "task_specific_params": { | |
| "summarization": { | |
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| "min_length": 30, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "prefix": "summarize: " | |
| }, | |
| "translation_en_to_de": { | |
| "early_stopping": true, | |
| "max_length": 300, | |
| "num_beams": 4, | |
| "prefix": "translate English to German: " | |
| }, | |
| "translation_en_to_fr": { | |
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| "max_length": 300, | |
| "num_beams": 4, | |
| "prefix": "translate English to French: " | |
| }, | |
| "translation_en_to_ro": { | |
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| "max_length": 300, | |
| "num_beams": 4, | |
| "prefix": "translate English to Romanian: " | |
| } | |
| }, | |
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| "train_dataset": "qanom", | |
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| "use_cache": true, | |
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| } | |