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# salmon-whisper-large-smj-lr7e-5-test1

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the NbAiLab/salmon-asr-smj dataset.
It achieves the following results on the evaluation set:
- step: 999
- validation_loss: 0.9447
- train_loss: 0.3067
- validation_wer: 21.6755
- validation_cer: 5.6661
- validation_exact_wer: 25.0
- validation_exact_cer: 6.1940

## 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: 7e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 6
- total_train_batch_size_per_node: 48
- total_train_batch_size: 48
- total_optimization_steps: 1,000
- starting_optimization_step: None
- finishing_optimization_step: 1,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 48,000
- steps_per_epoch: 385
- num_beams: None
- weight_decay: 0.01
- adam_beta1: 0.9
- adam_beta2: 0.98
- adam_epsilon: 1e-06
- dropout: True
- bpe_dropout_probability: 0.2
- activation_dropout_probability: 0.1

### Training results

| step | validation_loss | train_loss | validation_wer | validation_cer | validation_exact_wer | validation_exact_cer |
|:----:|:---------------:|:----------:|:--------------:|:--------------:|:--------------------:|:--------------------:|
| 0    | 4.2254          | 4.6455     | 112.7660       | 59.8700        | 108.1117             | 62.0594              |
| 100  | 1.4819          | 0.9353     | 59.0426        | 16.0032        | 61.8351              | 16.8293              |
| 200  | 1.2494          | 0.8903     | 43.2181        | 10.9667        | 45.8777              | 11.6311              |
| 300  | 1.1444          | 0.8144     | 32.4468        | 8.4281         | 35.6383              | 8.8429               |
| 400  | 1.0442          | 1.3240     | 30.1862        | 7.7173         | 33.3777              | 8.2454               |
| 500  | 0.9681          | 0.2736     | 25.5319        | 6.3769         | 28.4574              | 6.8711               |
| 600  | 1.0579          | 0.4364     | 25.0           | 6.3363         | 28.3245              | 6.8313               |
| 700  | 0.9322          | 0.6873     | 23.4043        | 5.9708         | 26.3298              | 6.3732               |
| 800  | 0.9255          | 0.3675     | 23.2713        | 6.0114         | 26.5957              | 6.5326               |
| 900  | 0.9581          | 0.6156     | 22.4734        | 5.8692         | 26.0638              | 6.4330               |
| 999  | 0.9447          | 0.3067     | 21.6755        | 5.6661         | 25.0                 | 6.1940               |


### Framework versions

- Transformers 4.34.1
- Datasets 2.15.0
- Tokenizers 0.14.0

{"language": ["et"], "license": "apache-2.0", "tags": ["audio", "asr", "automatic-speech-recognition", "hf-asr-leaderboard"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "salmon-whisper-large-smj-lr7e-5-test1", "results": []}]}
transformers jax tensorboard whisper automatic-speech-recognition audio asr hf-asr-leaderboard et base_model:openai/whisper-large-v2 license:apache-2.0 endpoints_compatible region:us