46 lines
1.1 KiB
JSON
46 lines
1.1 KiB
JSON
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{
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"bottleneck_dim": 24,
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"dataset_config_name": [
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"en"
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],
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"delta_type": "adapter",
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"do_eval": true,
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"do_test": true,
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"do_train": true,
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"eval_dataset_config_name": [
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"en"
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],
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"eval_dataset_name": "qqp",
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"eval_steps": 200,
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"evaluation_strategy": "steps",
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"greater_is_better": true,
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"learning_rate": 0.0003,
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"load_best_model_at_end": true,
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"max_source_length": 128,
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"metric_for_best_model": "eval_accuracy",
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"model_name_or_path": "roberta-base",
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"num_train_epochs": 3,
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"output_dir": "outputs/adapter/roberta-base/qqp",
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"overwrite_output_dir": true,
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"per_device_eval_batch_size": 32,
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"per_device_train_batch_size": 32,
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"predict_with_generate": true,
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"push_to_hub": true,
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"save_steps": 200,
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"save_strategy": "steps",
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"save_total_limit": 1,
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"seed": 42,
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"task_name": "qqp",
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"test_dataset_config_name": [
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"en"
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],
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"test_dataset_name": "qqp",
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"tokenizer_name": "roberta-base",
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"unfrozen_modules": [
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"deltas",
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"layer_norm",
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"final_layer_norm",
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"classifier"
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],
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"warmup_steps": 0
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}
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