seislm-base / config.json
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{
"format_version": 1,
"architecture": "MultiDimWav2Vec2ForPreTraining",
"model_config": {
"activation_dropout": 0.0,
"apply_spec_augment": true,
"attention_dropout": 0.0,
"codevector_dim": 256,
"contrastive_logits_temperature": 0.1,
"conv_bias": true,
"conv_dim": [
256,
256
],
"conv_embed": true,
"conv_kernel": [
3,
3
],
"conv_stride": [
2,
2
],
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": true,
"feat_extract_norm": "layer",
"feat_proj_dropout": 0.0,
"feat_quantizer_dropout": 0.0,
"hidden_dropout": 0.0,
"hidden_size": 240,
"initializer_range": 0.02,
"input_dim": 3,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"layerdrop": 0.0,
"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": 0.65,
"num_attention_heads": 12,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_feat_extract_layers": 2,
"num_hidden_layers": 6,
"num_negatives": 100,
"output_attentions": false,
"output_hidden_size": 768,
"output_hidden_states": false,
"pad_token_id": 0,
"proj_codevector_dim": 256,
"rotary_pos_embed": false,
"scale_logits_in_quantization": true,
"use_rms_norm": false
},
"preprocessing": {
"sampling_rate_hz": 100,
"component_order": "ZNE",
"tensor_layout": "batch, component, sample",
"dtype": "float32",
"reference_window_samples": 3001,
"normalization": "per-component demean, divide by population std + 1e-10",
"zero_std": "replace zero std by 1 before division",
"missing_components": "Legacy training randomly copies a present component into missing channels. Supply complete components for deterministic inference; no filling is performed by the loader or encode()."
},
"source_checkpoint_sha256": "6e97c53c562e9ba6bc96df85d8d208b89ff84e80a25468825f29bb5bace5eacb"
}