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# wav2vec2-base-EMOPIA

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8322
- Unko: 0.6901

## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Unko   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.3813        | 1.0   | 269  | 1.3716          | 0.4507 |
| 1.3343        | 2.0   | 538  | 1.3003          | 0.4225 |
| 1.2196        | 3.0   | 807  | 1.1628          | 0.3944 |
| 1.0698        | 4.0   | 1076 | 1.0313          | 0.4648 |
| 0.9729        | 5.0   | 1345 | 1.0308          | 0.4648 |
| 0.9164        | 6.0   | 1614 | 0.9420          | 0.5211 |
| 0.8703        | 7.0   | 1883 | 0.9046          | 0.6197 |
| 0.8246        | 8.0   | 2152 | 0.8820          | 0.6338 |
| 0.7763        | 9.0   | 2421 | 0.8699          | 0.6479 |
| 0.735         | 10.0  | 2690 | 0.8654          | 0.6479 |
| 0.702         | 11.0  | 2959 | 0.7786          | 0.7324 |
| 0.6809        | 12.0  | 3228 | 0.7981          | 0.7042 |
| 0.6408        | 13.0  | 3497 | 0.8188          | 0.6761 |
| 0.6316        | 14.0  | 3766 | 0.8047          | 0.6761 |
| 0.6064        | 15.0  | 4035 | 0.8632          | 0.6479 |
| 0.602         | 16.0  | 4304 | 0.8534          | 0.6620 |
| 0.5837        | 17.0  | 4573 | 0.8721          | 0.6620 |
| 0.574         | 18.0  | 4842 | 0.8046          | 0.7183 |
| 0.5685        | 19.0  | 5111 | 0.8419          | 0.6761 |
| 0.5544        | 20.0  | 5380 | 0.8322          | 0.6901 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-EMOPIA", "results": []}]}
transformers tensorboard safetensors wav2vec2 generated_from_trainer base_model:facebook/wav2vec2-base license:apache-2.0 endpoints_compatible region:us