salmon-whisper-large-smj-lr7e-5-test1
This model is a fine-tuned version of 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
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