xtreme_s_xlsr_minds14 / config.json
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{
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
"activation_dropout": 0.0,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
"Wav2Vec2ForSequenceClassification"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"classifier_proj_size": 256,
"codevector_dim": 768,
"contrastive_logits_temperature": 0.1,
"conv_bias": true,
"conv_dim": [
512,
512,
512,
512,
512,
512,
512
],
"conv_kernel": [
10,
3,
3,
3,
3,
2,
2
],
"conv_stride": [
5,
2,
2,
2,
2,
2,
2
],
"ctc_loss_reduction": "mean",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": true,
"eos_token_id": 2,
"feat_extract_activation": "gelu",
"feat_extract_dropout": 0.0,
"feat_extract_norm": "layer",
"feat_proj_dropout": 0.0,
"feat_quantizer_dropout": 0.0,
"final_dropout": 0.0,
"hidden_act": "gelu",
"hidden_dropout": 0.0,
"hidden_size": 1024,
"id2label": {
"0": "abroad",
"1": "address",
"2": "app_error",
"3": "atm_limit",
"4": "balance",
"5": "business_loan",
"6": "card_issues",
"7": "cash_deposit",
"8": "direct_debit",
"9": "freeze",
"10": "high_value_payment",
"11": "joint_account",
"12": "latest_transactions",
"13": "pay_bill"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"abroad": 0,
"address": 1,
"app_error": 2,
"atm_limit": 3,
"balance": 4,
"business_loan": 5,
"card_issues": 6,
"cash_deposit": 7,
"direct_debit": 8,
"freeze": 9,
"high_value_payment": 10,
"joint_account": 11,
"latest_transactions": 12,
"pay_bill": 13
},
"layer_norm_eps": 1e-05,
"layerdrop": 0.0,
"mask_feature_length": 64,
"mask_feature_min_masks": 0,
"mask_feature_prob": 0.1,
"mask_time_length": 10,
"mask_time_min_masks": 2,
"mask_time_prob": 0.3,
"model_type": "wav2vec2",
"num_adapter_layers": 3,
"num_attention_heads": 16,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_feat_extract_layers": 7,
"num_hidden_layers": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 0,
"proj_codevector_dim": 768,
"tdnn_dilation": [
1,
2,
3,
1,
1
],
"tdnn_dim": [
512,
512,
512,
512,
1500
],
"tdnn_kernel": [
5,
3,
3,
1,
1
],
"torch_dtype": "float32",
"transformers_version": "4.18.0.dev0",
"use_weighted_layer_sum": false,
"vocab_size": 32,
"xvector_output_dim": 512
}