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---
license: apache-2.0
base_model: ctl/wav2vec2-large-xlsr-cantonese
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xls-r-300m-zhhk
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. -->
# wav2vec2-large-xls-r-300m-zhhk
This model is a fine-tuned version of [ctl/wav2vec2-large-xlsr-cantonese](https://huggingface.co/ctl/wav2vec2-large-xlsr-cantonese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3414
- Cer: 0.7094
## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.2737 | 6.78 | 400 | 4.0199 | 0.8241 |
| 1.0554 | 13.56 | 800 | 4.2189 | 0.7531 |
| 0.5784 | 20.34 | 1200 | 4.3916 | 0.7212 |
| 0.3313 | 27.12 | 1600 | 4.3414 | 0.7094 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
|