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# wav2vec2-large-xls-r-300m-sakha-yaksaha

This model is a fine-tuned version of [infinitejoy/wav2vec2-large-xls-r-300m-sakha](https://huggingface.co/infinitejoy/wav2vec2-large-xls-r-300m-sakha) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5156
- Wer: 0.5588

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.4   | 40   | 0.6200          | 0.6082 |
| 1.0278        | 2.81  | 80   | 0.5563          | 0.6026 |
| 0.648         | 4.21  | 120  | 0.5401          | 0.5763 |
| 0.5401        | 5.61  | 160  | 0.5424          | 0.5824 |
| 0.4972        | 7.02  | 200  | 0.5232          | 0.5638 |
| 0.4972        | 8.42  | 240  | 0.5022          | 0.5528 |
| 0.467         | 9.82  | 280  | 0.5156          | 0.5588 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "infinitejoy/wav2vec2-large-xls-r-300m-sakha", "model-index": [{"name": "wav2vec2-large-xls-r-300m-sakha-yaksaha", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_13_0", "type": "common_voice_13_0", "config": "sah", "split": "test", "args": "sah"}, "metrics": [{"type": "wer", "value": 0.5587892898719441, "name": "Wer"}]}]}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer dataset:common_voice_13_0 base_model:infinitejoy/wav2vec2-large-xls-r-300m-sakha license:apache-2.0 model-index endpoints_compatible region:us