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---
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_non_large_timestamp_test
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_non_large_timestamp_test
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_whisper_both_timestamp 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: 1e-06
- lr_scheduler_type: linear
- per_device_train_batch_size: 16
- total_train_batch_size_per_node: 64
- total_train_batch_size: 64
- total_optimization_steps: 5,000
- starting_optimization_step: None
- finishing_optimization_step: 5,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 320,000
- steps_per_epoch: _To be computed after first epoch_
- num_beams: 5
### Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|:----:|:---------:|:----------:|:--------:|:--------:|
| 0 | 0.5499 | 0.6409 | 10.5055 | 5.6538 |
### Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3
|