Upload hparams.yaml
Browse files- hparams.yaml +24 -0
hparams.yaml
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nr_frozen_epochs: 0.3
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class_identifier: referenceless_regression_metric
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keep_embeddings_frozen: True
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optimizer: AdamW
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encoder_learning_rate: 1.0e-06
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learning_rate: 1.5e-05
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layerwise_decay: 0.95
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encoder_model: XLM-RoBERTa
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pretrained_model: Davlan/afro-xlmr-large-76L
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pool: avg
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layer: mix
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layer_transformation: sparsemax
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layer_norm: False
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loss: mse
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dropout: 0.1
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batch_size: 4
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train_data:
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- /SAN/intelsys/llm/jiaywang/COMET-2.0.2/data/annotation/wmt/train/wmt_final_previous.csv
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validation_data:
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- /SAN/intelsys/llm/jiaywang/COMET-2.0.2/data/annotation/final/annotation_1027_dev_devtest_prep_ade/en-kik-ade_dev.csv
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hidden_sizes:
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- 3072
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- 1024
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activations: Tanh
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