AlienKevin's picture
End of training
a50e79e
---
language:
- yue
license: apache-2.0
base_model: AlienKevin/whisper-base-jyutping-without-tones-full
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Base Jyutping without Tones Full Version trained with extra data from
Common Voice zh-HK
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 Base Jyutping without Tones Full Version trained with extra data from Common Voice zh-HK
This model is a fine-tuned version of [AlienKevin/whisper-base-jyutping-without-tones-full](https://huggingface.co/AlienKevin/whisper-base-jyutping-without-tones-full) on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0949
- Wer: 9.7694
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 2400
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0921 | 0.14 | 800 | 0.1049 | 10.4769 |
| 0.0824 | 0.28 | 1600 | 0.0989 | 9.8173 |
| 0.0611 | 0.42 | 2400 | 0.0949 | 9.7694 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3