w2v2-L

87.9% passed tests (340 passed / 47 failed).

Tests overview

Topic	Passed Tests
Correctness consistency	67.6%
Correctness distribution	66.7%
Correctness regression	88.9%
Correctness speaker average	100.0%
Correctness speaker ranking	100.0%
Fairness accent	100.0%
Fairness language	86.7%
Fairness linguistic sentiment	100.0%
Fairness pitch	100.0%
Fairness sex	100.0%
Robustness background noise	37.5%
Robustness low quality phone	25.0%
Robustness recording condition	0.0%
Robustness simulated recording condition	33.3%
Robustness small changes	90.0%
Robustness spectral tilt	62.5%

Model parameters

Entry	Value
data	msp-2.4.0
model	facebook/wav2vec2-large
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/31_adv_wav2vec2-large_msp/model/adv/checkpoint-6500’, ‘transformers_version’: ‘4.13.0.dev0’, ‘feat_extract_dropout’: 0.0, ‘gradient_checkpointing’: False, ‘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’: 0.0, ‘feat_proj_dropout’: 0.1, ‘final_dropout’: 0.0, ‘layerdrop’: 0.1, ‘layer_norm_eps’: 1e-05, ‘initializer_range’: 0.02, ‘vocab_size’: 32, ‘do_stable_layer_norm’: True, ‘use_weighted_layer_sum’: False, ‘classifier_proj_size’: 256, ‘apply_spec_augment’: True, ‘mask_time_prob’: 0.075, ‘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’: [[-0.07155628502368927, -0.01086265966296196, 0.07137836515903473, -0.10073589533567429, -0.008630944415926933, 0.010310528799891472, 0.0016022996278479695, -0.02054440602660179, 0.0007600014214403927, 0.005874209571629763, 0.018858078867197037, 0.03025314398109913, 0.017364835366606712, -0.016301555559039116, 0.11238832026720047, 0.0042234244756400585, -0.0014645139453932643, -0.0032781767658889294, -0.08610375225543976, 0.011379481293261051, -0.012493054382503033, 0.05301037058234215, 0.003812505630776286, 0.015465429052710533, 0.01642618700861931, 0.016224432736635208, 0.08110285550355911, 0.006911423522979021, 0.08264070004224777, -0.015768902376294136, 0.01453675702214241, 0.08713016659021378, 0.01414317823946476, -0.00013488804688677192, 0.006279405672103167, 0.0002521910355426371, 0.0833456888794899, 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