File size: 1,267 Bytes
7fee5c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
{
"_name_or_path": "AutoTrain",
"_num_labels": 3,
"architectures": [
"CamembertForSequenceClassification"
],
"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": "\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07",
"1": "\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07\u0e21\u0e32\u0e01",
"2": "\u0e44\u0e21\u0e48\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07": 0,
"\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07\u0e21\u0e32\u0e01": 1,
"\u0e44\u0e21\u0e48\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07": 2
},
"layer_norm_eps": 1e-12,
"max_length": 256,
"max_position_embeddings": 512,
"model_type": "camembert",
"num_attention_head": 12,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 25005
}
|