|
--- |
|
language: |
|
- et |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- audio |
|
- asr |
|
- automatic-speech-recognition |
|
- hf-asr-leaderboard |
|
model-index: |
|
- name: whisper-small-smj |
|
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. --> |
|
|
|
# whisper-small-smj |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 32 |
|
- total_train_batch_size_per_node: 256 |
|
- total_train_batch_size: 256 |
|
- total_optimization_steps: 10,000 |
|
- starting_optimization_step: None |
|
- finishing_optimization_step: 10,000 |
|
- num_train_dataset_workers: 32 |
|
- num_hosts: 1 |
|
- total_num_training_examples: 2,560,000 |
|
- steps_per_epoch: 70 |
|
- 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 | 3.4458 | 4.7979 | 205.7181 | 94.0902 | 150.2660 | 95.4591 | |
|
| 1000 | 0.8415 | 0.2440 | 21.9415 | 6.4379 | 25.9309 | 7.0106 | |
|
| 2000 | 1.0741 | 0.2249 | 21.6755 | 5.7474 | 25.0 | 6.1741 | |
|
| 3000 | 0.8933 | 0.2919 | 20.4787 | 5.3615 | 23.9362 | 5.8156 | |
|
| 4000 | 0.8445 | 0.1339 | 18.8830 | 5.2193 | 21.4096 | 5.6363 | |
|
| 5000 | 0.3739 | 0.2289 | 20.0798 | 5.3818 | 23.2713 | 5.8355 | |
|
| 6000 | 0.3746 | 0.2586 | 19.8138 | 5.2600 | 22.7394 | 5.6562 | |
|
| 7000 | 0.3555 | 0.2273 | 19.2819 | 5.7067 | 22.3404 | 6.0745 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
