speecht5_finetuned_voxpopuli_en
This model is a fine-tuned version of speechbrain/spkrec-xvect-voxceleb on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.6952
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7848 | 0.12 | 10 | 0.7479 |
| 0.7404 | 0.24 | 20 | 0.6952 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
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Model tree for bwilkie/speecht5_finetuned_voxpopuli_en
Base model
speechbrain/spkrec-xvect-voxceleb