summarization-base-0 / config.json
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{
"_name_or_path": "LazarusNLP/IndoNanoT5-base",
"adapters": {
"adapters": {},
"config_map": {},
"fusion_config_map": {},
"fusions": {}
},
"architectures": [
"T5AdapterModel"
],
"classifier_dropout": 0.0,
"d_ff": 2048,
"d_kv": 64,
"d_model": 768,
"decoder_start_token_id": 0,
"dense_act_fn": "gelu_new",
"dropout_rate": 0.1,
"eos_token_id": 1,
"feed_forward_proj": "gated-gelu",
"id2label": null,
"initializer_factor": 1.0,
"is_encoder_decoder": true,
"is_gated_act": true,
"label2id": null,
"layer_norm_epsilon": 1e-06,
"model_type": "t5",
"num_decoder_layers": 12,
"num_heads": 12,
"num_layers": 12,
"output_past": true,
"pad_token_id": 0,
"prediction_heads": {
"default": {
"activation_function": null,
"bias": false,
"head_type": "seq2seq_lm",
"label2id": null,
"layer_norm": false,
"layers": 1,
"shift_labels": false,
"vocab_size": 32128
}
},
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.40.2",
"use_cache": true,
"vocab_size": 32128
}