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---
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_tertius_dropout_replicate_test7b
results: []
---
<!-- 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_tertius_dropout_replicate_test7b
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NbAiLab/NCC_speech_all_v5 dataset.
It achieves the following results on the evaluation set:
- step: 19999
- eval_loss: 0.6607
- train_loss: 0.3094
- eval_wer: 10.8709
- eval_cer: 5.1449
## 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
- dropout: True
- dropout_probability: 0.1
### Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|:-----:|:---------:|:----------:|:--------:|:--------:|
| 0 | 1.3578 | 8.1186 | 156.3946 | 118.6999 |
| 1000 | 0.7538 | 0.9632 | 23.5688 | 9.1509 |
| 2000 | 0.7164 | 0.6653 | 18.2704 | 7.4628 |
| 3000 | 0.7374 | 0.5403 | 15.1340 | 6.4853 |
| 4000 | 0.7819 | 0.4543 | 13.5810 | 6.0368 |
| 5000 | 0.8360 | 0.4266 | 12.2716 | 5.4775 |
| 6000 | 0.9197 | 0.3941 | 11.6017 | 5.2104 |
| 7000 | 0.9399 | 0.3705 | 11.8149 | 5.3515 |
| 8000 | 0.7468 | 0.3806 | 11.6017 | 5.2104 |
| 9000 | 0.7944 | 0.3562 | 11.5713 | 5.3212 |
| 10000 | 0.6599 | 0.3563 | 11.1145 | 5.1046 |
| 11000 | 0.6534 | 0.3394 | 11.2972 | 5.3313 |
| 12000 | 0.5689 | 0.3427 | 11.0536 | 5.2708 |
| 13000 | 0.5633 | 0.3313 | 11.1754 | 5.2557 |
| 14000 | 0.7331 | 0.3278 | 11.4495 | 5.4623 |
| 15000 | 0.6593 | 0.3011 | 11.1754 | 5.1902 |
| 16000 | 0.6180 | 0.3044 | 11.1449 | 5.2356 |
| 17000 | 0.6761 | 0.3058 | 10.9318 | 5.2053 |
| 18000 | 0.6697 | 0.3154 | 10.8709 | 5.1499 |
| 19000 | 0.6730 | 0.2888 | 11.0231 | 5.2658 |
| 19999 | 0.6607 | 0.3094 | 10.8709 | 5.1449 |
### Framework versions
- Transformers 4.30.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3
|