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{ |
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"_name_or_path": "xlm-roberta-base", |
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"architectures": [ |
|
"XLMRobertaForSequenceClassification" |
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], |
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"attention_probs_dropout_prob": 0.1, |
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"bos_token_id": 0, |
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"classifier_dropout": null, |
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"eos_token_id": 2, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 768, |
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"id2label": { |
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"0": "essay", |
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"1": "facebook", |
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"2": "literature", |
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"3": "news", |
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"4": "parliament", |
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"5": "review", |
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"6": "tweet" |
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}, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"label2id": { |
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"essay": 0, |
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"facebook": 1, |
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"literature": 2, |
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"news": 3, |
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"parliament": 4, |
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"review": 5, |
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"tweet": 6 |
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}, |
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"layer_norm_eps": 1e-05, |
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"max_position_embeddings": 514, |
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"model_type": "xlm-roberta", |
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"num_attention_heads": 12, |
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"num_hidden_layers": 12, |
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"output_past": true, |
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"pad_token_id": 1, |
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"position_embedding_type": "absolute", |
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"problem_type": "single_label_classification", |
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"torch_dtype": "float32", |
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"transformers_version": "4.36.2", |
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"type_vocab_size": 1, |
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"use_cache": true, |
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"vocab_size": 250002 |
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} |
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|