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# wav2vec2-base-finetuned-ks

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/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

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 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 1.16.1
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["superb"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-ks", "results": []}]}
transformers tensorboard safetensors wav2vec2 audio-classification generated_from_trainer dataset:superb base_model:facebook/wav2vec2-base license:apache-2.0 endpoints_compatible region:us