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--- |
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license: apache-2.0 |
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base_model: rinna/japanese-hubert-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: hubert-rinnna-jp-jdrtsp-fw07sp-13 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# hubert-rinnna-jp-jdrtsp-fw07sp-13 |
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This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1606 |
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- Wer: 0.3004 |
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- Cer: 0.1786 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 1000 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 1.352 | 1.0 | 404 | 0.9913 | 0.6021 | 0.4479 | |
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| 0.9044 | 2.0 | 808 | 0.5053 | 0.4261 | 0.2774 | |
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| 0.9001 | 3.0 | 1212 | 0.8458 | 0.4848 | 0.3267 | |
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| 0.8425 | 4.0 | 1616 | 0.5311 | 0.4577 | 0.3053 | |
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| 0.8408 | 5.0 | 2020 | 0.4328 | 0.4075 | 0.2776 | |
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| 0.7759 | 6.0 | 2424 | 0.4736 | 0.4394 | 0.3363 | |
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| 0.7228 | 7.0 | 2828 | 0.4667 | 0.4173 | 0.2862 | |
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| 0.6755 | 8.0 | 3232 | 0.4190 | 0.4114 | 0.2611 | |
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| 0.634 | 9.0 | 3636 | 0.4252 | 0.3993 | 0.2612 | |
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| 0.6267 | 10.0 | 4040 | 0.3275 | 0.3734 | 0.2362 | |
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| 0.6199 | 11.0 | 4444 | 0.2786 | 0.3543 | 0.2222 | |
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| 0.5396 | 12.0 | 4848 | 0.2851 | 0.3501 | 0.2146 | |
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| 0.5343 | 13.0 | 5252 | 0.2527 | 0.3448 | 0.2106 | |
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| 0.5488 | 14.0 | 5656 | 0.2725 | 0.3431 | 0.2100 | |
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| 0.4606 | 15.0 | 6060 | 0.2293 | 0.3259 | 0.1962 | |
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| 0.4229 | 16.0 | 6464 | 0.2043 | 0.3172 | 0.1914 | |
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| 0.4078 | 17.0 | 6868 | 0.1891 | 0.3128 | 0.1862 | |
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| 0.4017 | 18.0 | 7272 | 0.1785 | 0.3075 | 0.1833 | |
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| 0.3618 | 19.0 | 7676 | 0.1673 | 0.3035 | 0.1803 | |
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| 0.3739 | 20.0 | 8080 | 0.1606 | 0.3004 | 0.1786 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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