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en_experiments.json
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/
en_experiments.json
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{
"en_tense_bert_base": {
"model_type": "bert",
"model": "bert-base-cased",
"last_state": -12,
"dim_input": 768,
"dim_output": 768,
"data_sources": [
"english_tense/out_en_sample.csv"
],
"tune_epochs": 5,
"train_epochs": 15,
"samples": 10,
"cv_k": 5
},
"en_tense_m_sentence_transformer": {
"model_type": "sentence-transformers",
"model": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2",
"last_state": -1,
"dim_input": 768,
"dim_output": 768,
"data_sources": [
"english_tense/out_en_sample.csv"
],
"tune_epochs": 5,
"train_epochs": 15,
"samples": 10,
"cv_k": 5
},
"en_tense_roberta_base": {
"model_type": "roberta",
"model": "roberta-base",
"last_state": -12,
"dim_input": 768,
"dim_output": 768,
"data_sources": [
"english_tense/out_en_sample.csv"
],
"tune_epochs": 5,
"train_epochs": 15,
"samples": 10,
"cv_k": 5
},
"en_agr_bert_base": {
"model_type": "bert",
"model": "bert-base-cased",
"last_state": -12,
"dim_input": 768,
"dim_output": 768,
"data_sources": [
"english_agreement/out_en_sample.csv"
],
"tune_epochs": 5,
"train_epochs": 15,
"samples": 10,
"cv_k": 5
},
"en_agr_m_sentence_transformer": {
"model_type": "sentence-transformers",
"model": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2",
"last_state": -1,
"dim_input": 768,
"dim_output": 768,
"data_sources": [
"english_agreement/out_en_sample.csv"
],
"tune_epochs": 5,
"train_epochs": 15,
"samples": 10,
"cv_k": 5
},
"en_agr_roberta_base": {
"model_type": "roberta",
"model": "roberta-base",
"last_state": -12,
"dim_input": 768,
"dim_output": 768,
"data_sources": [
"english_agreement/out_en_sample.csv"
],
"tune_epochs": 5,
"train_epochs": 15,
"samples": 10,
"cv_k": 5
}
}