w2v2-L-robust

80.9% passed tests (326 passed / 77 failed).

Tests overview

Topic	Passed Tests
Correctness consistency	42.6%
Correctness distribution	66.7%
Correctness regression	22.2%
Correctness speaker average	100.0%
Correctness speaker ranking	50.0%
Fairness accent	100.0%
Fairness language	75.0%
Fairness linguistic sentiment	89.8%
Fairness pitch	100.0%
Fairness sex	100.0%
Robustness background noise	41.7%
Robustness low quality phone	50.0%
Robustness recording condition	50.0%
Robustness simulated recording condition	0.0%
Robustness small changes	90.0%
Robustness spectral tilt	87.5%

Model parameters

Entry	Value
data	msp-2.4.0
model	facebook/wav2vec2-large-robust
sampling_rate	16000

Model information

Entry	Value
Author	jwagner
Date	2022-01-04
Name	onnx
Subgroup	ser.dimensions.wav2vec2
Version	1.0.0
Config	{‘return_dict’: True, ‘output_hidden_states’: False, ‘output_attentions’: False, ‘torchscript’: False, ‘torch_dtype’: ‘float32’, ‘use_bfloat16’: False, ‘pruned_heads’: {}, ‘tie_word_embeddings’: True, ‘is_encoder_decoder’: False, ‘is_decoder’: False, ‘cross_attention_hidden_size’: None, ‘add_cross_attention’: False, ‘tie_encoder_decoder’: False, ‘max_length’: 20, ‘min_length’: 0, ‘do_sample’: False, ‘early_stopping’: False, ‘num_beams’: 1, ‘num_beam_groups’: 1, ‘diversity_penalty’: 0.0, ‘temperature’: 1.0, ‘top_k’: 50, ‘top_p’: 1.0, ‘repetition_penalty’: 1.0, ‘length_penalty’: 1.0, ‘no_repeat_ngram_size’: 0, ‘encoder_no_repeat_ngram_size’: 0, ‘bad_words_ids’: None, ‘num_return_sequences’: 1, ‘chunk_size_feed_forward’: 0, ‘output_scores’: False, ‘return_dict_in_generate’: False, ‘forced_bos_token_id’: None, ‘forced_eos_token_id’: None, ‘remove_invalid_values’: False, ‘architectures’: [‘Wav2Vec2ForSpeechClassification’], ‘finetuning_task’: ‘wav2vec2_reg’, ‘id2label’: {0: ‘LABEL_0’, 1: ‘LABEL_1’, 2: ‘LABEL_2’}, ‘label2id’: {‘LABEL_0’: 0, ‘LABEL_1’: 1, ‘LABEL_2’: 2}, ‘tokenizer_class’: None, ‘prefix’: None, ‘bos_token_id’: 1, ‘pad_token_id’: 0, ‘eos_token_id’: 2, ‘sep_token_id’: None, ‘decoder_start_token_id’: None, ‘task_specific_params’: None, ‘problem_type’: ‘regression’, ‘_name_or_path’: ‘/scratch/jwagner/git/transformers/wav2vec/29_adv_wav2vec2-large-robust_msp/model/adv/checkpoint-8900’, ‘transformers_version’: ‘4.13.0.dev0’, ‘feat_extract_dropout’: 0.0, ‘gradient_checkpointing’: False, ‘hidden_dropout_prob’: 0.1, ‘model_type’: ‘wav2vec2’, ‘num_feat_extract_layers’: 7, ‘pooling_mode’: ‘mean’, ‘hidden_size’: 1024, ‘feat_extract_norm’: ‘layer’, ‘feat_extract_activation’: ‘gelu’, ‘conv_dim’: [512, 512, 512, 512, 512, 512, 512], ‘conv_stride’: [5, 2, 2, 2, 2, 2, 2], ‘conv_kernel’: [10, 3, 3, 3, 3, 2, 2], ‘conv_bias’: True, ‘num_conv_pos_embeddings’: 128, ‘num_conv_pos_embedding_groups’: 16, ‘num_hidden_layers’: 24, ‘intermediate_size’: 4096, ‘hidden_act’: ‘gelu’, ‘num_attention_heads’: 16, ‘hidden_dropout’: 0.1, ‘attention_dropout’: 0.1, ‘activation_dropout’: 0.1, ‘feat_proj_dropout’: 0.1, ‘final_dropout’: 0.1, ‘layerdrop’: 0.1, ‘layer_norm_eps’: 1e-05, ‘initializer_range’: 0.02, ‘vocab_size’: None, ‘do_stable_layer_norm’: True, ‘use_weighted_layer_sum’: False, ‘classifier_proj_size’: 256, ‘apply_spec_augment’: True, ‘mask_time_prob’: 0.05, ‘mask_time_length’: 10, ‘mask_time_min_masks’: 2, ‘mask_feature_prob’: 0.0, ‘mask_feature_length’: 10, ‘mask_feature_min_masks’: 0, ‘num_codevectors_per_group’: 320, ‘num_codevector_groups’: 2, ‘contrastive_logits_temperature’: 0.1, ‘feat_quantizer_dropout’: 0.0, ‘num_negatives’: 100, ‘codevector_dim’: 768, ‘proj_codevector_dim’: 768, ‘diversity_loss_weight’: 0.1, ‘ctc_loss_reduction’: ‘sum’, ‘ctc_zero_infinity’: False, ‘add_adapter’: False, ‘adapter_kernel_size’: 3, ‘adapter_stride’: 2, ‘num_adapter_layers’: 3, ‘output_hidden_size’: 1024}
Sample	{‘emodb’: {‘flavor’: {‘bit_depth’: None, ‘channels’: None, ‘format’: ‘wav’, ‘mixdown’: True, ‘sampling_rate’: 16000}, ‘data’: {‘wav/03a01Fa.wav’: {‘hidden_states’: [[-0.00443160068243742, 0.016356034204363823, -0.003186515998095274, 0.00814930722117424, -0.0009015896357595921, 0.005773765966296196, 0.0036143932957202196, 0.0126419672742486, 0.10345204174518585, 0.013002087362110615, 6.29412243142724e-05, -0.0076830750331282616, -0.00015933069516904652, 0.0015052742091938853, 8.276951120933518e-05, 0.020654862746596336, -0.03904593735933304, 0.010356513783335686, 0.0012288391590118408, 0.01430122647434473, 0.000848650757689029, -0.0008229002705775201, 0.009930088184773922, 0.00024445305461995304, 0.011566349305212498, 0.001648174598813057, -0.006003447342664003, -0.013227893970906734, -0.002724424237385392, 0.002757882932201028, 0.006816101726144552, 0.06842032819986343, -0.015626726672053337, -0.006168918218463659, 0.012791682966053486, -0.012207839637994766, 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