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{ |
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"_name_or_path": "AutoTrain", |
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"_num_labels": 5, |
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"architectures": [ |
|
"AlbertForSequenceClassification" |
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], |
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"attention_probs_dropout_prob": 0, |
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"bos_token_id": 2, |
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"classifier_dropout_prob": 0.1, |
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"down_scale_factor": 1, |
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"embedding_size": 128, |
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"eos_token_id": 3, |
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"gap_size": 0, |
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"hidden_act": "gelu_new", |
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"hidden_dropout_prob": 0, |
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"hidden_size": 4096, |
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"id2label": { |
|
"0": "tech", |
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"1": "business", |
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"2": "sport", |
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"3": "entertainment", |
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"4": "politics" |
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}, |
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"initializer_range": 0.02, |
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"inner_group_num": 1, |
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"intermediate_size": 16384, |
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"id2label": { |
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"0": "tech", |
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"1": "business", |
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"2": "sport", |
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"3": "entertainment", |
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"4": "politics" |
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}, |
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"layer_norm_eps": 1e-12, |
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"layers_to_keep": [], |
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"max_length": 512, |
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"max_position_embeddings": 512, |
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"model_type": "albert", |
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"net_structure_type": 0, |
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"num_attention_heads": 64, |
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"num_hidden_groups": 1, |
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"num_hidden_layers": 12, |
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"num_memory_blocks": 0, |
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"pad_token_id": 0, |
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"padding": "max_length", |
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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": "4.25.1", |
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"type_vocab_size": 2, |
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"vocab_size": 30000 |
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} |
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|