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scream_duo_dropout_bpe_dropout
NbAiLabArchive/scream_duo_dropout_bpe_dropout
scream_duo_dropout_bpe_dropout is a automatic speech recognition model from NbAiLabArchive. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- May 18, 2023
- Updated
- May 19, 2023
- SHA
- 40d274ae
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
scream_duo_dropout_bpe_dropout
This model is a fine-tuned version of openai/whisper-small on the NbAiLab/NCC_speech_all_v5 dataset. It achieves the following results on the evaluation set:
- step: 19999
- eval_loss: 5.2383
- train_loss: 0.4761
- eval_wer: 10.1096
- eval_cer: 4.9735
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: 2e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 32
- total_train_batch_size_per_node: 128
- total_train_batch_size: 1024
- total_optimization_steps: 20,000
- starting_optimization_step: None
- finishing_optimization_step: 20,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 20,480,000
- steps_per_epoch: 1314
- num_beams: 5
Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|---|---|---|---|---|
| 0 | 4.2078 | 2.2707 | 169.1230 | 127.5435 |
| 1000 | 3.2725 | 0.8044 | 18.8490 | 7.9113 |
| 2000 | 2.8829 | 0.7114 | 12.7893 | 5.2205 |
| 3000 | 2.5190 | 0.6461 | 11.6931 | 5.1247 |
| 4000 | 2.5935 | 0.5883 | 10.8100 | 4.8325 |
| 5000 | 2.3213 | 0.5753 | 10.7186 | 4.8677 |
| 6000 | 3.2012 | 0.5495 | 10.6273 | 5.0491 |
| 7000 | 2.9775 | 0.5279 | 10.8100 | 5.0441 |
| 8000 | 3.1645 | 0.5412 | 9.9574 | 4.8929 |
| 9000 | 2.9499 | 0.5191 | 11.0840 | 7.1504 |
| 10000 | 3.7657 | 0.5215 | 10.5968 | 5.0189 |
| 11000 | 3.7694 | 0.5086 | 9.9574 | 4.8375 |
| 12000 | 3.9640 | 0.5121 | 10.3228 | 4.9685 |
| 13000 | 4.2364 | 0.4982 | 10.3532 | 5.0088 |
| 14000 | 4.5940 | 0.4908 | 9.9574 | 4.8627 |
| 15000 | 4.7101 | 0.4696 | 10.1401 | 5.0239 |
| 16000 | 4.7501 | 0.4680 | 9.8965 | 4.7317 |
| 17000 | 4.9145 | 0.4751 | 10.0792 | 5.0239 |
| 18000 | 5.1751 | 0.4783 | 10.0183 | 4.9332 |
| 19000 | 5.2207 | 0.4566 | 10.0183 | 4.9131 |
| 19999 | 5.2383 | 0.4761 | 10.1096 | 4.9735 |
Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- no
- Created
- May 18, 2023
- Updated
- May 19, 2023