pere's picture
Saving weights and logs of step 1000 - epoch 0
735864a
|
raw
history blame
1.64 kB
---
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_tertius_dropout_replicate_test7a
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_test7a
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.
## 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: _To be computed after first epoch_
- num_beams: 5
- dropout: True
- dropout_probability: 0.1
### Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|:----:|:---------:|:----------:|:--------:|:--------:|
| 0 | 1.3582 | 7.9231 | 169.1230 | 127.5435 |
| 1000 | 0.9203 | 0.9748 | 24.0256 | 9.2618 |
### Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3