salmon-whisper-large-smj-lr5e-5
This model is a fine-tuned version of openai/whisper-large-v2 on the NbAiLab/salmon-asr-smj dataset.
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: 5e-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: 100,000
- starting_optimization_step: None
- finishing_optimization_step: 100,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 4,800,000
- 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 | 4.6413 | 112.7660 | 59.8700 | 108.1117 | 62.0594 |
| 10000 | 0.8720 | 0.3747 | 18.2181 | 5.2803 | 21.4096 | 5.6762 |
| 20000 | 1.1365 | 0.2741 | 15.2926 | 4.6304 | 18.0851 | 5.0588 |
| 30000 | 1.2561 | 0.2111 | 14.6277 | 4.0617 | 17.9521 | 4.5011 |
Framework versions
- Transformers 4.35.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for NbAiLab/salmon-whisper-large-smj-lr5e-5-s30k
Base model
openai/whisper-large-v2