ESM_senti_lex_fa / config.json
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{
"base_model_name": "bert-base-multilingual-uncased",
"developers": "David Schulte",
"esm_architecture": "linear",
"esm_batch_size": 32,
"esm_learning_rate": 0.001,
"esm_num_epochs": 10,
"esm_optimizer": "AdamW",
"esm_weight_decay": 0.01,
"label_column": "sentiment",
"language": null,
"lm_batch_size": 32,
"lm_learning_rate": 2e-05,
"lm_num_epochs": 3,
"lm_optimizer": "AdamW",
"lm_weight_decay": 0.01,
"num_examples": 2477,
"seed": null,
"task_id": "senti-lex/senti_lex",
"task_split": "train",
"task_subset": "fa",
"text_column": "word",
"transformers_version": "4.36.2"
}