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: 1.5805
- eval_accuracy: 0.6209
- eval_runtime: 247.8667
- eval_samples_per_second: 27.426
- eval_steps_per_second: 0.859
- epoch: 0.6387
- step: 255
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: 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 4.41.1
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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