|
--- |
|
language: |
|
- zh |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- formospeech/hat_asr_aligned |
|
model-index: |
|
- name: Whisper Tiny Hakka Webcam |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Whisper Tiny Hakka Webcam |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0706 |
|
- Cer: 3.8803 |
|
|
|
## 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-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1521 |
|
- training_steps: 15210 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:------:|:-----:|:---------------:|:-------:| |
|
| 0.3507 | 0.9993 | 1521 | 0.3448 | 18.5531 | |
|
| 0.1263 | 1.9987 | 3042 | 0.1418 | 7.4508 | |
|
| 0.0781 | 2.9980 | 4563 | 0.1043 | 5.2685 | |
|
| 0.0547 | 3.9974 | 6084 | 0.0880 | 5.2373 | |
|
| 0.0369 | 4.9967 | 7605 | 0.0800 | 4.4617 | |
|
| 0.0247 | 5.9961 | 9126 | 0.0752 | 4.1670 | |
|
| 0.0196 | 6.9954 | 10647 | 0.0721 | 4.0884 | |
|
| 0.014 | 7.9947 | 12168 | 0.0707 | 3.6676 | |
|
| 0.0103 | 8.9941 | 13689 | 0.0706 | 3.6757 | |
|
| 0.0086 | 9.9934 | 15210 | 0.0706 | 3.8803 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.3 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
