Text Classification
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PyTorch
English
roberta
climate
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{
"_name_or_path": "ClimatePolicyRadar/national-climate-targets",
"architectures": [
"RobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "NZT",
"1": "Reduction",
"2": "Other"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"NZT": 0,
"Other": 2,
"Reduction": 1
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 6,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.33.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50500
}