Upload config
Browse files- README.md +7 -7
- config.json +2 -6
README.md
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---
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library_name: transformers
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tags:
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- audio-classification
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- generated_from_trainer
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datasets:
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- voxceleb
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metrics:
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- accuracy
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model-index:
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- name: ecapa-tdnn-voxceleb1-c512-aam
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: confit/voxceleb
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type: voxceleb
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split: train
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args: verification
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metrics:
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type: accuracy
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value: 0.8030272452068618
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
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datasets:
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- voxceleb
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library_name: transformers
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metrics:
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- accuracy
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tags:
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- audio-classification
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- generated_from_trainer
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model-index:
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- name: ecapa-tdnn-voxceleb1-c512-aam
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results:
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- task:
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type: audio-classification
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name: Audio Classification
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dataset:
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name: confit/voxceleb
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type: voxceleb
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split: train
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args: verification
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metrics:
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- type: accuracy
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value: 0.8030272452068618
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name: Accuracy
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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config.json
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{
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"angular": true,
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"angular_margin": 0.2,
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"angular_scale": 30,
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"architectures": [
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"EcapaTdnnForSequenceClassification"
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],
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"attention_channels": 128,
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"auto_map": {
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"AutoConfig": "configuration_ecapa_tdnn.EcapaTdnnConfig"
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"AutoModelForAudioClassification": "modeling_ecapa_tdnn.EcapaTdnnForSequenceClassification"
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},
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"bos_token_id": 1,
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"decoder_config": {
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},
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"time_masks": 5,
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"time_width": 0.03,
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"torch_dtype": "float32",
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"transformers_version": "4.48.3",
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"use_torchaudio": true,
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"use_vectorized_spec_augment": true,
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{
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"_attn_implementation_autoset": true,
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"angular": true,
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"angular_margin": 0.2,
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"angular_scale": 30,
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"attention_channels": 128,
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"auto_map": {
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"AutoConfig": "configuration_ecapa_tdnn.EcapaTdnnConfig"
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},
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"bos_token_id": 1,
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"decoder_config": {
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},
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"time_masks": 5,
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"time_width": 0.03,
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"transformers_version": "4.48.3",
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"use_torchaudio": true,
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"use_vectorized_spec_augment": true,
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