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Upload hparams.yaml
Browse files- hparams.yaml +21 -0
hparams.yaml
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# seed 8
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activations: Tanh
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batch_size: 4
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class_identifier: referenceless_regression_metric
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dropout: 0.15
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encoder_learning_rate: 1.0e-05
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encoder_model: XLM-RoBERTa
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hidden_sizes:
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- 2048
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- 1024
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keep_embeddings_frozen: true
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layer: mix
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layerwise_decay: 0.95
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learning_rate: 1.0e-05
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load_weights_from_checkpoint: null
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nr_frozen_epochs: 1
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optimizer: AdamW
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pool: avg
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pretrained_model: xlm-roberta-large
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train_data: data/mqm.train.z_score.csv
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validation_data: data/mqm.test.z_score.csv
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