File size: 2,343 Bytes
2d9eefa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
{
"activation_dropout": 0.1,
"adapter_attn_dim": null,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": false,
"attention_dropout": 0.1,
"bos_token_id": 1,
"classifier_proj_size": 256,
"codevector_dim": 256,
"conformer_conv_dropout": 0.1,
"context_awareness_type": null,
"contrastive_logits_temperature": 0.1,
"conv_bias": false,
"conv_depthwise_kernel_size": 31,
"conv_dim": [
512,
512
],
"conv_kernel": [
3,
3
],
"conv_padding": [
1,
1
],
"conv_stride": [
2,
2
],
"csgu_activation": "identity",
"csgu_conv_dropout": 0.1,
"csgu_kernel_size": 31,
"csgu_use_linear_after_conv": false,
"ctc_loss_reduction": "sum",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": false,
"eos_token_id": 2,
"fe_position_embeddings": false,
"feat_extract_activation": "gelu",
"feat_extract_norm": "group",
"feat_proj_dropout": 0.0,
"feat_quantizer_dropout": 0.0,
"final_dropout": 0.1,
"hidden_act": "gelu",
"hidden_dropout": 0.1,
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 2048,
"is_causal": false,
"layer_norm_eps": 1e-05,
"layerdrop": 0,
"mask_feature_length": 10,
"mask_feature_min_masks": 0,
"mask_feature_prob": 0.0,
"mask_time_length": 10,
"mask_time_min_masks": 2,
"mask_time_prob": 0.05,
"max_source_positions": 1024,
"merge_conv_kernel": 31,
"model_type": "wav2vec2-ebranchformer",
"num_adapter_layers": 3,
"num_attention_heads": 4,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_fbanks": 80,
"num_feat_extract_layers": 2,
"num_hidden_layers": 16,
"num_mel_bins": 80,
"num_negatives": 100,
"output_hidden_size": 256,
"pad_token_id": 0,
"position_embeddings_type": "relative",
"proj_codevector_dim": 256,
"rotary_embedding_base": 10000,
"tdnn_dilation": [
1,
2,
3,
1,
1
],
"tdnn_dim": [
512,
512,
512,
512,
1500
],
"tdnn_kernel": [
5,
3,
3,
1,
1
],
"transformers_version": "4.39.3",
"use_fbanks": true,
"use_macaron_ff": true,
"use_weighted_layer_sum": false,
"vocab_size": null,
"xvector_output_dim": 512
}
|