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wav2vec2-large-xls-r-300m-zhhk
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README.md
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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.
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It achieves the following results on the evaluation set:
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- Loss:
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- Cer: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2901 | 5.41 | 1600 | 4.6080 | 0.8198 |
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| 0.2819 | 6.77 | 2000 | 4.4941 | 0.7316 |
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| 0.2629 | 8.12 | 2400 | 4.6927 | 0.8021 |
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| 0.2363 | 9.48 | 2800 | 4.8796 | 0.8701 |
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| 0.2205 | 10.83 | 3200 | 4.6338 | 0.8087 |
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| 0.2171 | 12.18 | 3600 | 4.5740 | 0.7562 |
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| 0.1875 | 13.54 | 4000 | 4.6072 | 0.7992 |
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| 0.1824 | 14.89 | 4400 | 4.6546 | 0.7669 |
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| 0.178 | 16.24 | 4800 | 4.6410 | 0.7961 |
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| 0.1644 | 17.6 | 5200 | 4.7306 | 0.8236 |
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| 0.155 | 18.95 | 5600 | 4.6632 | 0.7900 |
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| 0.1396 | 20.3 | 6000 | 4.6239 | 0.8015 |
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| 0.1411 | 21.66 | 6400 | 4.6007 | 0.7793 |
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| 0.13 | 23.01 | 6800 | 4.5354 | 0.7475 |
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| 0.1232 | 24.37 | 7200 | 4.6229 | 0.7600 |
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| 0.1239 | 25.72 | 7600 | 4.6382 | 0.7727 |
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| 0.1322 | 27.07 | 8000 | 4.6734 | 0.7902 |
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| 0.1338 | 28.43 | 8400 | 4.6536 | 0.7861 |
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| 0.1353 | 29.78 | 8800 | 4.6213 | 0.7864 |
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### Framework versions
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.5094
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- Cer: 0.3540
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.6545 | 0.32 | 400 | 1.6247 | 0.3646 |
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| 0.621 | 0.64 | 800 | 1.5691 | 0.3588 |
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| 0.8621 | 0.96 | 1200 | 1.5094 | 0.3540 |
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### Framework versions
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model.safetensors
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runs/Dec19_02-03-20_b2128b12c385/events.out.tfevents.1702952053.b2128b12c385.18685.10
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