Hubert-kakeiken-W-closed
This model is a fine-tuned version of rinna/japanese-hubert-base on the ORIGINAL_KAKEIKEN_W_CLOSED - JA dataset. It achieves the following results on the evaluation set:
- Loss: 0.0273
- Wer: 0.9988
- Cer: 1.0164
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 12500
- num_epochs: 40.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
28.44 | 1.0 | 824 | 10.8607 | 1.0 | 1.1284 |
9.2184 | 2.0 | 1648 | 7.5106 | 1.0 | 1.1284 |
7.0297 | 3.0 | 2472 | 4.1902 | 1.0 | 1.1284 |
3.6874 | 4.0 | 3296 | 3.1196 | 1.0 | 1.1284 |
2.7259 | 5.0 | 4120 | 2.2997 | 1.0 | 1.1284 |
2.1431 | 6.0 | 4944 | 1.0496 | 0.9997 | 1.0314 |
0.8891 | 7.0 | 5768 | 0.6380 | 0.9999 | 1.0174 |
0.4891 | 8.0 | 6592 | 0.2589 | 0.9991 | 1.0305 |
0.3675 | 9.0 | 7416 | 0.6099 | 0.9994 | 1.0932 |
0.2744 | 10.0 | 8240 | 0.1262 | 0.9990 | 1.0239 |
0.2278 | 11.0 | 9064 | 0.1107 | 0.9990 | 1.0234 |
0.2148 | 12.0 | 9888 | 0.0672 | 0.9990 | 1.0261 |
0.1927 | 13.0 | 10712 | 0.0592 | 0.9990 | 1.0219 |
0.1723 | 14.0 | 11536 | 0.0800 | 0.9988 | 1.0228 |
0.1725 | 15.0 | 12360 | 0.0518 | 0.9990 | 1.0211 |
0.1628 | 16.0 | 13184 | 0.1359 | 0.9988 | 1.0142 |
0.1567 | 17.0 | 14008 | 0.0444 | 0.9990 | 1.0196 |
0.1436 | 18.0 | 14832 | 0.0421 | 0.9988 | 1.0193 |
0.1351 | 19.0 | 15656 | 0.0375 | 0.9988 | 1.0173 |
0.1454 | 20.0 | 16480 | 0.0304 | 0.9988 | 1.0186 |
0.1252 | 21.0 | 17304 | 0.0568 | 0.9988 | 1.0237 |
0.1233 | 22.0 | 18128 | 0.0291 | 0.9988 | 1.0176 |
0.1179 | 23.0 | 18952 | 0.0271 | 0.9988 | 1.0167 |
0.1108 | 24.0 | 19776 | 0.0279 | 0.9988 | 1.0178 |
0.1031 | 25.0 | 20600 | 0.0351 | 0.9990 | 1.0183 |
0.1006 | 26.0 | 21424 | 0.0441 | 0.9990 | 1.0173 |
0.0946 | 27.0 | 22248 | 0.0306 | 0.9988 | 1.0170 |
0.09 | 28.0 | 23072 | 0.0302 | 0.9988 | 1.0177 |
0.0813 | 29.0 | 23896 | 0.0349 | 0.9988 | 1.0178 |
0.0806 | 30.0 | 24720 | 0.0369 | 0.9988 | 1.0179 |
0.0763 | 31.0 | 25544 | 0.0434 | 0.9990 | 1.0165 |
0.075 | 32.0 | 26368 | 0.0308 | 0.9988 | 1.0160 |
0.0708 | 33.0 | 27192 | 0.0308 | 0.9988 | 1.0167 |
0.0668 | 34.0 | 28016 | 0.0298 | 0.9988 | 1.0166 |
0.0639 | 35.0 | 28840 | 0.0272 | 0.9988 | 1.0164 |
0.0628 | 36.0 | 29664 | 0.0265 | 0.9988 | 1.0161 |
0.0628 | 37.0 | 30488 | 0.0267 | 0.9988 | 1.0163 |
0.0586 | 38.0 | 31312 | 0.0263 | 0.9988 | 1.0162 |
0.058 | 39.0 | 32136 | 0.0280 | 0.9988 | 1.0164 |
0.0588 | 39.9520 | 32920 | 0.0269 | 0.9988 | 1.0164 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Base model
rinna/japanese-hubert-base