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{ |
|
"_name_or_path": "albert_xl/vitc_fever/checkpoint-10000", |
|
"architectures": [ |
|
"AlbertForSequenceClassification" |
|
], |
|
"attention_probs_dropout_prob": 0, |
|
"bos_token_id": 2, |
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"classifier_dropout_prob": 0.1, |
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"down_scale_factor": 1, |
|
"embedding_size": 128, |
|
"eos_token_id": 3, |
|
"finetuning_task": [ |
|
"fever", |
|
"vitc_real", |
|
"vitc_synthetic" |
|
], |
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"gap_size": 0, |
|
"hidden_act": "gelu_new", |
|
"hidden_dropout_prob": 0, |
|
"hidden_size": 2048, |
|
"id2label": { |
|
"0": "SUPPORTS", |
|
"1": "REFUTES", |
|
"2": "NOT ENOUGH INFO" |
|
}, |
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"initializer_range": 0.02, |
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"inner_group_num": 1, |
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"intermediate_size": 8192, |
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"label2id": { |
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"NOT ENOUGH INFO": "2", |
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"REFUTES": "1", |
|
"SUPPORTS": "0" |
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}, |
|
"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "albert", |
|
"net_structure_type": 0, |
|
"num_attention_heads": 16, |
|
"num_hidden_groups": 1, |
|
"num_hidden_layers": 24, |
|
"num_memory_blocks": 0, |
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"pad_token_id": 0, |
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"position_embedding_type": "absolute", |
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"transformers_version": "4.3.3", |
|
"type_vocab_size": 2, |
|
"vocab_size": 30000 |
|
} |
|
|