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# my_awesome_mind_model

This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6000
- Accuracy: 0.75

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.7537          | 0.25     |
| No log        | 2.0   | 3    | 0.6236          | 0.75     |
| No log        | 3.0   | 5    | 0.5948          | 0.75     |
| No log        | 4.0   | 6    | 0.5866          | 0.75     |
| No log        | 5.0   | 7    | 0.5819          | 0.75     |
| No log        | 6.0   | 9    | 0.5987          | 0.75     |
| 0.2651        | 6.67  | 10   | 0.6000          | 0.75     |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.0+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-large", "model-index": [{"name": "my_awesome_mind_model", "results": []}]}
transformers tensorboard safetensors wav2vec2 audio-classification generated_from_trainer base_model:facebook/wav2vec2-large license:apache-2.0 endpoints_compatible region:us