hubert-b-cat

73.0% passed tests (449 passed / 166 failed).

Tests overview

Topic	Passed Tests
Correctness classification	52.0%
Correctness distribution	52.5%
Correctness speaker average	33.3%
Correctness speaker ranking	50.0%
Fairness accent	98.4%
Fairness language	66.7%
Fairness linguistic sentiment	90.6%
Fairness pitch	100.0%
Fairness sex	100.0%
Robustness background noise	30.0%
Robustness low quality phone	60.0%
Robustness recording condition	50.0%
Robustness simulated recording condition	33.3%
Robustness small changes	76.0%
Robustness spectral tilt	75.0%

Model parameters

Entry	Value
data	{‘train’: {‘msppodcast’: {‘version’: ‘2.6.1’, ‘tables’: [‘emotion.categories.train.gold_standard’]}}, ‘dev’: {‘msppodcast’: {‘version’: ‘2.6.1’, ‘tables’: [‘emotion.categories.dev.gold_standard’]}}}
model	facebook/hubert-base-ls960
sampling_rate	16000
quantization	False

Model information

Entry	Value
Author	aderington
Date	2023-03-10
Name	onnx
Subgroup	ser.basic4.hubert
Version	1.0.0
Data	{‘train’: {‘msppodcast’: {‘version’: ‘2.6.1’, ‘tables’: [‘emotion.categories.train.gold_standard’]}}, ‘dev’: {‘msppodcast’: {‘version’: ‘2.6.1’, ‘tables’: [‘emotion.categories.dev.gold_standard’]}}}
Model	{‘facebook/hubert-base-ls960’: {‘batch_size’: 16, ‘learning_rate’: 0.0001, ‘gradient_accumulation_steps’: 2, ‘config’: {‘return_dict’: True, ‘output_hidden_states’: False, ‘output_attentions’: False, ‘torchscript’: False, ‘torch_dtype’: ‘float32’, ‘use_bfloat16’: False, ‘tf_legacy_loss’: 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, ‘typical_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, ‘exponential_decay_length_penalty’: None, ‘suppress_tokens’: None, ‘begin_suppress_tokens’: None, ‘architectures’: [‘HubertForSpeechClassification’], ‘finetuning_task’: ‘wav2vec2_clf’, ‘id2label’: {0: ‘anger’, 1: ‘happiness’, 2: ‘neutral’, 3: ‘sadness’}, ‘label2id’: {‘anger’: 0, ‘happiness’: 1, ‘neutral’: 2, ‘sadness’: 3}, ‘tokenizer_class’: ‘Wav2Vec2CTCTokenizer’, ‘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’: ‘multi_label_classification’, ‘_name_or_path’: ‘hubert-base-ls960/basic4/checkpoint-1500’, ‘transformers_version’: ‘4.26.1’, ‘feat_extract_dropout’: 0.0, ‘gradient_checkpointing’: False, ‘hidden_dropout_prob’: 0.1, ‘model_type’: ‘hubert’, ‘num_feat_extract_layers’: 7, ‘pooling_mode’: ‘mean’, ‘hidden_size’: 768, ‘feat_extract_norm’: ‘group’, ‘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’: False, ‘num_conv_pos_embeddings’: 128, ‘num_conv_pos_embedding_groups’: 16, ‘num_hidden_layers’: 12, ‘intermediate_size’: 3072, ‘hidden_act’: ‘gelu’, ‘num_attention_heads’: 12, ‘hidden_dropout’: 0.1, ‘attention_dropout’: 0.1, ‘activation_dropout’: 0.1, ‘feat_proj_layer_norm’: True, ‘feat_proj_dropout’: 0.1, ‘final_dropout’: 0.1, ‘layerdrop’: 0.1, ‘layer_norm_eps’: 1e-05, ‘initializer_range’: 0.02, ‘vocab_size’: 32, ‘do_stable_layer_norm’: False, ‘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, ‘ctc_loss_reduction’: ‘sum’, ‘ctc_zero_infinity’: False}}}
Max_length_train	8.0
Sample	{‘emodb’: {‘version’: ‘1.1.1’, ‘flavor’: {‘bit_depth’: None, ‘channels’: None, ‘format’: ‘wav’, ‘mixdown’: True, ‘sampling_rate’: 16000}, ‘data’: {‘wav/03a01Fa.wav’: {‘hidden_states’: [[-0.1173597201704979, 0.08587466925382614, -0.09158625453710556, -0.06285431236028671, -0.11153341084718704, -0.06772445887327194, -0.31429752707481384, -0.4726986587047577, 0.22870679199695587, 0.16626222431659698, 0.10766143351793289, 0.08929822593927383, 0.1841738075017929, 0.9877398014068604, 0.21804018318653107, -0.28096359968185425, -0.2298431545495987, -0.041594281792640686, 0.06939961761236191, 0.18575602769851685, 0.7796383500099182, -0.20557381212711334, -0.08472271263599396, -0.510505735874176, 0.018293900415301323, -0.4284568428993225, -0.1123514175415039, -0.26389065384864807, -0.03307272866368294, 0.01952868327498436, -0.0814172625541687, -0.15593686699867249, 0.08339162170886993, 0.07359927147626877, -0.10121751576662064, -0.007826252840459347, 0.09722160547971725, 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