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# wav2vec2-fleur-mms-batch6-epoch16-finetunning

This model is a fine-tuned version of [Nachuwu/wav2vec2-fleur-mms-batch6-epoch16](https://huggingface.co/Nachuwu/wav2vec2-fleur-mms-batch6-epoch16) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7739
- Wer: 0.5252

## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 22.1887       | 0.42  | 100  | 11.1500         | 2.4576 |
| 16.4246       | 0.84  | 200  | 7.8925          | 1.2116 |
| 9.6917        | 1.27  | 300  | 5.2737          | 1.0255 |
| 3.615         | 1.69  | 400  | 3.1120          | 0.9835 |
| 2.7798        | 2.11  | 500  | 3.0797          | 0.9924 |
| 2.447         | 2.53  | 600  | 2.6319          | 1.0207 |
| 2.1429        | 2.95  | 700  | 2.3483          | 0.9924 |
| 1.6767        | 3.38  | 800  | 1.2960          | 0.7926 |
| 1.19          | 3.8   | 900  | 1.2001          | 0.7250 |
| 1.1818        | 4.22  | 1000 | 1.0052          | 0.5837 |
| 1.0365        | 4.64  | 1100 | 0.9885          | 0.6120 |
| 0.9911        | 5.06  | 1200 | 1.0018          | 0.5596 |
| 0.9513        | 5.49  | 1300 | 0.9199          | 0.5500 |
| 0.8994        | 5.91  | 1400 | 0.9272          | 0.5672 |
| 0.9067        | 6.33  | 1500 | 0.8948          | 0.5451 |
| 0.8964        | 6.75  | 1600 | 0.8798          | 0.5665 |
| 0.888         | 7.17  | 1700 | 0.8836          | 0.6223 |
| 0.8494        | 7.59  | 1800 | 0.8691          | 0.5830 |
| 0.8678        | 8.02  | 1900 | 0.8436          | 0.5493 |
| 0.8393        | 8.44  | 2000 | 0.8303          | 0.5431 |
| 0.8091        | 8.86  | 2100 | 0.8202          | 0.5438 |
| 0.8937        | 9.28  | 2200 | 0.7999          | 0.5341 |
| 0.7479        | 9.7   | 2300 | 0.8417          | 0.5258 |
| 0.8014        | 10.13 | 2400 | 0.8220          | 0.5369 |
| 0.8366        | 10.55 | 2500 | 0.8024          | 0.5348 |
| 0.7695        | 10.97 | 2600 | 0.8242          | 0.5686 |
| 0.761         | 11.39 | 2700 | 0.7992          | 0.5569 |
| 0.7845        | 11.81 | 2800 | 0.7981          | 0.5500 |
| 0.8056        | 12.24 | 2900 | 0.7900          | 0.5355 |
| 0.8236        | 12.66 | 3000 | 0.7826          | 0.5279 |
| 0.8135        | 13.08 | 3100 | 0.7834          | 0.5245 |
| 0.709         | 13.5  | 3200 | 0.7814          | 0.5320 |
| 0.7298        | 13.92 | 3300 | 0.7812          | 0.5258 |
| 0.7536        | 14.35 | 3400 | 0.7799          | 0.5293 |
| 0.7263        | 14.77 | 3500 | 0.7803          | 0.5224 |
| 0.7469        | 15.19 | 3600 | 0.7745          | 0.5362 |
| 0.7543        | 15.61 | 3700 | 0.7739          | 0.5252 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["wer"], "base_model": "Nachuwu/wav2vec2-fleur-mms-batch6-epoch16", "model-index": [{"name": "wav2vec2-fleur-mms-batch6-epoch16-finetunning", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "audiofolder", "type": "audiofolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "wer", "value": 0.5251550654720882, "name": "Wer"}]}]}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer dataset:audiofolder base_model:Nachuwu/wav2vec2-fleur-mms-batch6-epoch16 license:cc-by-nc-4.0 model-index endpoints_compatible region:us