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# wav2vec2-fleur-mms-batch6-epoch24-finetunning-3

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: 1.3000
- Wer: 0.6017

## 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: 24
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.4497        | 2.38  | 100  | 1.6988          | 0.7297 |
| 1.3991        | 4.76  | 200  | 1.3838          | 0.6394 |
| 1.2352        | 7.14  | 300  | 1.3424          | 0.6124 |
| 1.1687        | 9.52  | 400  | 1.3295          | 0.6138 |
| 1.1241        | 11.9  | 500  | 1.3126          | 0.6067 |
| 1.0908        | 14.29 | 600  | 1.3162          | 0.6031 |
| 1.0824        | 16.67 | 700  | 1.3059          | 0.6017 |
| 1.0512        | 19.05 | 800  | 1.3027          | 0.5989 |
| 1.0258        | 21.43 | 900  | 1.2990          | 0.6031 |
| 1.0376        | 23.81 | 1000 | 1.3000          | 0.6017 |


### 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-epoch24-finetunning-3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "audiofolder", "type": "audiofolder", "config": "default", "split": "test+validation", "args": "default"}, "metrics": [{"type": "wer", "value": 0.6017069701280228, "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