wav2vec2-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.3769
- eval_accuracy: 0.6209
- eval_runtime: 91.7806
- eval_samples_per_second: 74.068
- eval_steps_per_second: 2.321
- epoch: 0.06
- step: 25
Model description
More information needed
Intended uses & limitations
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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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 1.16.1
- Tokenizers 0.14.1
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