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--- |
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language: |
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- 'no' |
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license: apache-2.0 |
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tags: |
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- audio |
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- asr |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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model-index: |
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- name: scream_non_large_1e06_verbosity6 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# scream_non_large_1e06_verbosity6 |
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This model is a fine-tuned version of [NbAiLab/scream_non_large_1e06_beams5_constantlr_long](https://huggingface.co/NbAiLab/scream_non_large_1e06_beams5_constantlr_long) on the NbAiLab/NCC_speech_all_v5 dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 5 |
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- total_train_batch_size_per_node: 20 |
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- total_train_batch_size: 160 |
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- total_optimization_steps: 25,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 25,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 8 |
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- total_num_training_examples: 4,000,000 |
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- steps_per_epoch: 3948 |
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- num_beams: 5 |
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### Training results |
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| step | eval_loss | train_loss | eval_wer | eval_cer | |
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|:-----:|:---------:|:----------:|:--------:|:--------:| |
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| 0 | 1.1990 | 0.1742 | 10.4750 | 5.6387 | |
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| 2500 | 1.2217 | 0.1679 | 10.5359 | 5.7294 | |
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| 5000 | 1.2039 | 0.1717 | 10.5968 | 5.7949 | |
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| 7500 | 1.2121 | 0.1653 | 10.6577 | 5.8050 | |
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| 10000 | 1.2018 | 0.1494 | 10.6577 | 5.8453 | |
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| 12500 | 1.2066 | 0.1707 | 10.3228 | 5.7496 | |
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| 15000 | 1.2399 | 0.1671 | 10.8100 | 5.8201 | |
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| 17500 | 1.2301 | 0.1737 | 10.9013 | 5.9209 | |
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| 20000 | 1.2481 | 0.1520 | 11.1145 | 6.0015 | |
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| 22500 | 1.2333 | 0.1635 | 11.1754 | 6.1577 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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