File size: 3,896 Bytes
821b8b5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 |
---
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: jdrt_byclass_rinnna_hubert_asr_3
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_3
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: 0.4223
- Wer: 0.4080
- Cer: 0.2885
## 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: 7.5e-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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 11.2994 | 1.0 | 53 | 6.9048 | 0.9156 | 0.9495 |
| 5.5642 | 2.0 | 106 | 4.4074 | 0.9156 | 0.9495 |
| 4.1184 | 3.0 | 159 | 3.5723 | 0.9156 | 0.9495 |
| 3.2849 | 4.0 | 212 | 2.9362 | 0.9156 | 0.9495 |
| 2.7998 | 5.0 | 265 | 2.6897 | 0.9156 | 0.9495 |
| 2.6983 | 6.0 | 318 | 2.6367 | 0.9156 | 0.9495 |
| 2.4519 | 7.0 | 371 | 2.2030 | 0.9960 | 0.9112 |
| 2.1019 | 8.0 | 424 | 1.8801 | 1.0 | 0.8929 |
| 1.8091 | 9.0 | 477 | 1.5845 | 1.0 | 0.8639 |
| 1.5947 | 10.0 | 530 | 1.3550 | 1.0 | 0.7570 |
| 1.3709 | 11.0 | 583 | 1.2357 | 1.0000 | 0.7344 |
| 1.2377 | 12.0 | 636 | 1.0982 | 1.0000 | 0.6984 |
| 1.1595 | 13.0 | 689 | 0.9865 | 0.9997 | 0.6737 |
| 1.0386 | 14.0 | 742 | 0.9245 | 0.9125 | 0.5754 |
| 0.928 | 15.0 | 795 | 0.8553 | 0.8591 | 0.5117 |
| 0.8691 | 16.0 | 848 | 0.7590 | 0.8435 | 0.4966 |
| 0.7983 | 17.0 | 901 | 0.6782 | 0.5164 | 0.3451 |
| 0.6839 | 18.0 | 954 | 0.5806 | 0.4843 | 0.3323 |
| 0.5901 | 19.0 | 1007 | 0.5280 | 0.4438 | 0.3133 |
| 0.5553 | 20.0 | 1060 | 0.5312 | 0.4434 | 0.3143 |
| 0.5274 | 21.0 | 1113 | 0.5229 | 0.4357 | 0.2939 |
| 0.4843 | 22.0 | 1166 | 0.4674 | 0.4215 | 0.2844 |
| 0.477 | 23.0 | 1219 | 0.4996 | 0.4335 | 0.2984 |
| 0.4624 | 24.0 | 1272 | 0.4762 | 0.4334 | 0.3005 |
| 0.4485 | 25.0 | 1325 | 0.4241 | 0.4286 | 0.3003 |
| 0.4301 | 26.0 | 1378 | 0.4485 | 0.4247 | 0.2923 |
| 0.3953 | 27.0 | 1431 | 0.4292 | 0.4175 | 0.2944 |
| 0.401 | 28.0 | 1484 | 0.4241 | 0.4102 | 0.2868 |
| 0.3833 | 29.0 | 1537 | 0.4053 | 0.3995 | 0.2691 |
| 0.4125 | 30.0 | 1590 | 0.4210 | 0.4013 | 0.2690 |
| 0.3703 | 31.0 | 1643 | 0.4385 | 0.4070 | 0.2744 |
| 0.3441 | 32.0 | 1696 | 0.4126 | 0.4035 | 0.2718 |
| 0.3411 | 33.0 | 1749 | 0.4286 | 0.4125 | 0.2875 |
| 0.3302 | 34.0 | 1802 | 0.4311 | 0.4128 | 0.2943 |
| 0.3422 | 35.0 | 1855 | 0.4350 | 0.4084 | 0.2880 |
| 0.3428 | 36.0 | 1908 | 0.4223 | 0.4080 | 0.2885 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|