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Wav2vec2 Word Cls

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set: Loss: 1.1277 Accuracy: 0.8038

Fuentehuggingface.co/herrado99/wav2vec2_word_cls/tree/8595362e4adcf9bcdefa526c3011bdc311275b0f
TipoOtherModelo basefacebook/wav2vec2-base-960hVersiónRevision 8595362Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
361 MB
Modelo base
facebook/wav2vec2-base-960h
Versión
vRevision 8595362
Actualizado
18 oct 2026
Descargas
6
Fuente
Hugging Face

Descripción de la fuente

wav2vec2_word_cls

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1277
  • Accuracy: 0.8038

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
4.77671.0592.15660.4937
4.09702.01181.86150.5633
3.52163.01771.65080.5823
2.98324.02361.48010.6582
2.78125.02951.39320.6709
2.59816.03541.36580.7025
2.54867.04131.21790.7532
2.25018.04721.13330.7722
2.25659.05311.13140.8038
2.449610.05901.12770.8038

Framework versions

  • Transformers 5.5.4
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión 8595362e4adcf9bcdefa526c3011bdc311275b0f
huggingface.co/herrado99/wav2vec2_word_cls/tree/8595362e4adcf9bcdefa526c3011bdc311275b0f

Verificado 29 ago

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 361 MB · SHA-256 0f2b82a6c709…f1e6 · Hugging Face

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Extractos de fuentes

2 extractos
Readme29 agohuggingface.co/herrado99/wav2vec2_word_cls

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base-960h tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2_word_cls results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # wav2vec2_word_cls This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1277 - Accuracy: 0.8038 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 3e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 0.1 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 4.7767 | 1.0 | 59 | 2.1566 | 0.4937 | | 4.0970 | 2.0 | 118 | 1.8615 | 0.5633 | | 3.5216 | 3.0 | 177 | 1.6508 | 0.5823 | | 2.9832 | 4.0 | 236 | 1.4801 | 0.6582 | | 2.7812 | 5.0 | 295 | 1.3932 | 0.6709 | | 2.5981 | 6.0 | 354 | 1.3658 | 0.7025 | | 2.5486 | 7.0 | 413 | 1.2179 | 0.7532 | | 2.2501 | 8.0 | 472 | 1.1333 | 0.7722 | | 2.2565 | 9.0 | 531 | 1.1314 | 0.8038 | | 2.4496 | 10.0 | 590 | 1.1277 | 0.8038 | ### Framework versions - Transformers 5.5.4 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Note29 agohuggingface.co/herrado99/wav2vec2_word_cls

Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo herrado99/wav2vec2_word_cls