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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: jdrt_byclass_rinnna_hubert_asr_1 |
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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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# jdrt_byclass_rinnna_hubert_asr_1 |
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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: 0.3647 |
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- Wer: 0.4190 |
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- Cer: 0.2827 |
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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: 0.0001 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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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: cosine |
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- lr_scheduler_warmup_steps: 250 |
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- num_epochs: 50 |
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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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| 10.589 | 1.0 | 53 | 5.6588 | 0.9156 | 0.9495 | |
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| 5.0974 | 2.0 | 106 | 4.0914 | 0.9156 | 0.9495 | |
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| 3.6701 | 3.0 | 159 | 3.1732 | 0.9156 | 0.9495 | |
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| 2.9285 | 4.0 | 212 | 2.7238 | 0.9156 | 0.9495 | |
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| 2.6943 | 5.0 | 265 | 2.6600 | 0.9156 | 0.9495 | |
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| 2.4567 | 6.0 | 318 | 2.2231 | 0.9960 | 0.9112 | |
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| 2.1447 | 7.0 | 371 | 1.9716 | 0.9960 | 0.9112 | |
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| 1.8452 | 8.0 | 424 | 1.5058 | 0.9062 | 0.7431 | |
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| 1.4358 | 9.0 | 477 | 1.0988 | 0.7370 | 0.5347 | |
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| 1.1898 | 10.0 | 530 | 0.9512 | 0.6981 | 0.5062 | |
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| 1.0261 | 11.0 | 583 | 0.8354 | 0.6510 | 0.4779 | |
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| 0.8371 | 12.0 | 636 | 0.7158 | 0.5560 | 0.3784 | |
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| 0.7896 | 13.0 | 689 | 0.6381 | 0.5330 | 0.3686 | |
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| 0.6846 | 14.0 | 742 | 0.5720 | 0.5183 | 0.3555 | |
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| 0.6357 | 15.0 | 795 | 0.5879 | 0.5030 | 0.3505 | |
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| 0.5893 | 16.0 | 848 | 0.5501 | 0.4884 | 0.3468 | |
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| 0.558 | 17.0 | 901 | 0.4291 | 0.4487 | 0.3154 | |
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| 0.5019 | 18.0 | 954 | 0.4354 | 0.4552 | 0.3064 | |
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| 0.4784 | 19.0 | 1007 | 0.4199 | 0.4490 | 0.3014 | |
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| 0.4564 | 20.0 | 1060 | 0.4439 | 0.4508 | 0.3153 | |
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| 0.4291 | 21.0 | 1113 | 0.4143 | 0.4352 | 0.2845 | |
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| 0.4144 | 22.0 | 1166 | 0.4415 | 0.4384 | 0.2812 | |
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| 0.3766 | 23.0 | 1219 | 0.3706 | 0.4264 | 0.2918 | |
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| 0.3792 | 24.0 | 1272 | 0.3933 | 0.4377 | 0.3015 | |
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| 0.3759 | 25.0 | 1325 | 0.3708 | 0.4231 | 0.3023 | |
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| 0.337 | 26.0 | 1378 | 0.3762 | 0.4250 | 0.2942 | |
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| 0.3282 | 27.0 | 1431 | 0.3595 | 0.4253 | 0.2937 | |
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| 0.3174 | 28.0 | 1484 | 0.3998 | 0.4269 | 0.2898 | |
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| 0.3156 | 29.0 | 1537 | 0.4056 | 0.4268 | 0.3093 | |
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| 0.2921 | 30.0 | 1590 | 0.3694 | 0.4274 | 0.3041 | |
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| 0.2929 | 31.0 | 1643 | 0.3917 | 0.4228 | 0.2881 | |
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| 0.2686 | 32.0 | 1696 | 0.3880 | 0.4276 | 0.2969 | |
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| 0.2776 | 33.0 | 1749 | 0.4038 | 0.4273 | 0.2963 | |
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| 0.2619 | 34.0 | 1802 | 0.3647 | 0.4190 | 0.2827 | |
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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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