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# Whisper Large MN - Ankhbayasgalan Davaadorj

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 16.1 & FLEURS dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5662
- Wer: 31.9949

## 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: 0.0001
- train_batch_size: 16
- 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: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0691        | 5.99  | 1000  | 0.4597          | 41.5049 |
| 0.0183        | 11.98 | 2000  | 0.4996          | 38.2982 |
| 0.012         | 17.96 | 3000  | 0.5328          | 38.5402 |
| 0.0091        | 23.95 | 4000  | 0.5619          | 38.1277 |
| 0.004         | 29.94 | 5000  | 0.5439          | 35.2236 |
| 0.0019        | 35.93 | 6000  | 0.5731          | 35.3941 |
| 0.001         | 41.92 | 7000  | 0.5309          | 33.3755 |
| 0.0002        | 47.9  | 8000  | 0.5391          | 32.3140 |
| 0.0           | 53.89 | 9000  | 0.5543          | 32.1984 |
| 0.0           | 59.88 | 10000 | 0.5662          | 31.9949 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"language": ["mn"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1", "google/fleurs"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper Large MN - Ankhbayasgalan Davaadorj", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Common Voice 16.1 & FLEURS", "type": "mozilla-foundation/common_voice_16_1", "config": "mn", "split": "None", "args": "config: mn, split: test+validation"}, "metrics": [{"type": "wer", "value": 31.994939772289754, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer mn dataset:mozilla-foundation/common_voice_16_1 dataset:google/fleurs base_model:openai/whisper-large-v3 license:apache-2.0 model-index endpoints_compatible region:us