wav2vec2-large-xls-r-300m-zhhk
This model is a fine-tuned version of ctl/wav2vec2-large-xlsr-cantonese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5094
- Cer: 0.3540
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: 0.0001
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.6545 | 0.32 | 400 | 1.6247 | 0.3646 |
| 0.621 | 0.64 | 800 | 1.5691 | 0.3588 |
| 0.8621 | 0.96 | 1200 | 1.5094 | 0.3540 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for jialinselenasong/wav2vec2-large-xls-r-300m-zhhk
Base model
ctl/wav2vec2-large-xlsr-cantonese