| { |
| "_name_or_path": "xlm-roberta-base", |
| "architectures": [ |
| "XLMRobertaForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "bos_token_id": 0, |
| "classifier_dropout": null, |
| "eos_token_id": 2, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "Arabic", |
| "1": "Chinese", |
| "2": "Dutch", |
| "3": "English", |
| "4": "Estonian", |
| "5": "French", |
| "6": "Hindi", |
| "7": "Indonesian", |
| "8": "Japanese", |
| "9": "Korean", |
| "10": "Latin", |
| "11": "Persian", |
| "12": "Portugese", |
| "13": "Pushto", |
| "14": "Romanian", |
| "15": "Russian", |
| "16": "Spanish", |
| "17": "Swedish", |
| "18": "Tamil", |
| "19": "Thai", |
| "20": "Turkish", |
| "21": "Urdu" |
| }, |
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| "intermediate_size": 3072, |
| "label2id": { |
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| "Chinese": 1, |
| "Dutch": 2, |
| "English": 3, |
| "Estonian": 4, |
| "French": 5, |
| "Hindi": 6, |
| "Indonesian": 7, |
| "Japanese": 8, |
| "Korean": 9, |
| "Latin": 10, |
| "Persian": 11, |
| "Portugese": 12, |
| "Pushto": 13, |
| "Romanian": 14, |
| "Russian": 15, |
| "Spanish": 16, |
| "Swedish": 17, |
| "Tamil": 18, |
| "Thai": 19, |
| "Turkish": 20, |
| "Urdu": 21 |
| }, |
| "layer_norm_eps": 1e-05, |
| "max_position_embeddings": 514, |
| "model_type": "xlm-roberta", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 12, |
| "output_past": true, |
| "pad_token_id": 1, |
| "position_embedding_type": "absolute", |
| "problem_type": "single_label_classification", |
| "torch_dtype": "float32", |
| "transformers_version": "4.28.0", |
| "type_vocab_size": 1, |
| "use_cache": true, |
| "vocab_size": 250002 |
| } |
|
|