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# wav2vec2-base-finetuned-ks-balanced2

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:
- Loss: 1.6199
- Accuracy: 0.4860

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4624        | 0.99  | 79   | 1.8039          | 0.4685   |
| 0.8255        | 1.99  | 159  | 1.6513          | 0.4843   |
| 0.6409        | 3.0   | 239  | 1.6199          | 0.4860   |
| 0.5099        | 4.0   | 319  | 1.6686          | 0.4790   |
| 0.4903        | 4.95  | 395  | 1.7152          | 0.4682   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["superb"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-ks-balanced2", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "superb", "type": "superb", "config": "ks", "split": "validation", "args": "ks"}, "metrics": [{"type": "accuracy", "value": 0.48602530155928214, "name": "Accuracy"}]}]}]}
transformers pytorch wav2vec2 audio-classification generated_from_trainer dataset:superb base_model:facebook/wav2vec2-base license:apache-2.0 model-index endpoints_compatible region:us