|
--- |
|
license: apache-2.0 |
|
base_model: rinna/japanese-hubert-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: jdrt_byclass_rinnna_hubert_asr_2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# jdrt_byclass_rinnna_hubert_asr_2 |
|
|
|
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4574 |
|
- Wer: 0.4461 |
|
- Cer: 0.3253 |
|
|
|
## 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: 256 |
|
- eval_batch_size: 256 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 260 |
|
- num_epochs: 50 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
|
| 11.8822 | 1.0 | 53 | 8.0828 | 0.9838 | 0.9911 | |
|
| 6.3754 | 2.0 | 106 | 4.6774 | 0.9838 | 0.9911 | |
|
| 4.5264 | 3.0 | 159 | 3.9963 | 0.9838 | 0.9911 | |
|
| 3.7867 | 4.0 | 212 | 3.3575 | 0.9838 | 0.9911 | |
|
| 3.2022 | 5.0 | 265 | 2.9007 | 0.9838 | 0.9911 | |
|
| 2.8134 | 6.0 | 318 | 2.7079 | 0.9838 | 0.9911 | |
|
| 2.708 | 7.0 | 371 | 2.6779 | 0.9838 | 0.9911 | |
|
| 2.6923 | 8.0 | 424 | 2.6719 | 0.9838 | 0.9911 | |
|
| 2.6555 | 9.0 | 477 | 2.4997 | 0.9838 | 0.9911 | |
|
| 2.3308 | 10.0 | 530 | 2.1709 | 0.9960 | 0.9522 | |
|
| 2.1951 | 11.0 | 583 | 2.0579 | 0.9960 | 0.9522 | |
|
| 2.0032 | 12.0 | 636 | 1.8255 | 0.9989 | 0.9302 | |
|
| 1.8394 | 13.0 | 689 | 1.6870 | 0.9999 | 0.9021 | |
|
| 1.6562 | 14.0 | 742 | 1.4793 | 0.9999 | 0.8139 | |
|
| 1.5057 | 15.0 | 795 | 1.2942 | 0.9997 | 0.7813 | |
|
| 1.4022 | 16.0 | 848 | 1.2146 | 0.9997 | 0.7594 | |
|
| 1.2945 | 17.0 | 901 | 1.1512 | 0.9941 | 0.7395 | |
|
| 1.2062 | 18.0 | 954 | 1.0732 | 0.9844 | 0.6726 | |
|
| 1.1396 | 19.0 | 1007 | 1.0457 | 0.9694 | 0.6559 | |
|
| 1.0419 | 20.0 | 1060 | 0.8567 | 0.5929 | 0.4214 | |
|
| 0.8799 | 21.0 | 1113 | 0.7172 | 0.5273 | 0.3951 | |
|
| 0.8249 | 22.0 | 1166 | 0.6980 | 0.5204 | 0.4048 | |
|
| 0.7649 | 23.0 | 1219 | 0.6157 | 0.4923 | 0.3737 | |
|
| 0.7401 | 24.0 | 1272 | 0.6171 | 0.4992 | 0.3722 | |
|
| 0.7074 | 25.0 | 1325 | 0.5948 | 0.4835 | 0.3669 | |
|
| 0.6543 | 26.0 | 1378 | 0.5520 | 0.4759 | 0.3537 | |
|
| 0.6164 | 27.0 | 1431 | 0.5512 | 0.4745 | 0.3467 | |
|
| 0.5758 | 28.0 | 1484 | 0.5286 | 0.4677 | 0.3416 | |
|
| 0.5648 | 29.0 | 1537 | 0.5099 | 0.4644 | 0.3447 | |
|
| 0.578 | 30.0 | 1590 | 0.5262 | 0.4701 | 0.3530 | |
|
| 0.5343 | 31.0 | 1643 | 0.5025 | 0.4621 | 0.3463 | |
|
| 0.5236 | 32.0 | 1696 | 0.4927 | 0.4588 | 0.3411 | |
|
| 0.5256 | 33.0 | 1749 | 0.4971 | 0.4614 | 0.3434 | |
|
| 0.5309 | 34.0 | 1802 | 0.4882 | 0.4553 | 0.3400 | |
|
| 0.4938 | 35.0 | 1855 | 0.4663 | 0.4497 | 0.3309 | |
|
| 0.4874 | 36.0 | 1908 | 0.4734 | 0.4508 | 0.3316 | |
|
| 0.4519 | 37.0 | 1961 | 0.4642 | 0.4483 | 0.3289 | |
|
| 0.5137 | 38.0 | 2014 | 0.4655 | 0.4490 | 0.3303 | |
|
| 0.4832 | 39.0 | 2067 | 0.4613 | 0.4474 | 0.3282 | |
|
| 0.4581 | 40.0 | 2120 | 0.4565 | 0.4450 | 0.3236 | |
|
| 0.4542 | 41.0 | 2173 | 0.4550 | 0.4461 | 0.3262 | |
|
| 0.4478 | 42.0 | 2226 | 0.4548 | 0.4442 | 0.3247 | |
|
| 0.448 | 43.0 | 2279 | 0.4523 | 0.4450 | 0.3238 | |
|
| 0.4468 | 44.0 | 2332 | 0.4560 | 0.4455 | 0.3224 | |
|
| 0.4681 | 45.0 | 2385 | 0.4599 | 0.4468 | 0.3253 | |
|
| 0.455 | 46.0 | 2438 | 0.4589 | 0.4472 | 0.3246 | |
|
| 0.4479 | 47.0 | 2491 | 0.4583 | 0.4465 | 0.3245 | |
|
| 0.4533 | 48.0 | 2544 | 0.4582 | 0.4469 | 0.3253 | |
|
| 0.4486 | 49.0 | 2597 | 0.4575 | 0.4462 | 0.3253 | |
|
| 0.4466 | 50.0 | 2650 | 0.4574 | 0.4461 | 0.3253 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
