chinese-hubert-base-CV16
This model is a fine-tuned version of TencentGameMate/chinese-hubert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.0618
- Wer: 1.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.PAGED_LION_8BIT and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.08333333333333333
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.3559 | 0.5 | 752 | 7.1096 | 1.0 |
| 7.368 | 1.0 | 1504 | 7.1509 | 1.0 |
| 7.2041 | 1.5 | 2256 | 7.0803 | 1.0 |
| 7.1962 | 2.0 | 3008 | 7.0860 | 1.0 |
| 7.2482 | 2.5 | 3760 | 7.0603 | 1.0 |
| 7.2172 | 3.0 | 4512 | 7.0618 | 1.0 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.21.0
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Model tree for urarik/chinese-hubert-base-CV16
Base model
TencentGameMate/chinese-hubert-base