|
--- |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- hts98/original_ver1.2 |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-base-960h-paper |
|
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. --> |
|
|
|
# wav2vec2-base-960h-paper |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the HTS98/ORIGINAL_VER1.2 - NA dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8214 |
|
- Wer: 0.9640 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 420 |
|
- num_epochs: 50.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| No log | 0.99 | 104 | 5.6840 | 1.0 | |
|
| No log | 2.0 | 209 | 3.9772 | 1.0 | |
|
| No log | 3.0 | 314 | 3.4204 | 1.0 | |
|
| No log | 4.0 | 419 | 3.3692 | 1.0 | |
|
| 5.5612 | 4.99 | 523 | 3.3945 | 1.0 | |
|
| 5.5612 | 6.0 | 628 | 3.3426 | 1.0 | |
|
| 5.5612 | 7.0 | 733 | 3.3333 | 1.0 | |
|
| 5.5612 | 8.0 | 838 | 3.3296 | 1.0001 | |
|
| 5.5612 | 8.99 | 942 | 3.1853 | 0.9999 | |
|
| 3.2743 | 10.0 | 1047 | 2.1381 | 1.0245 | |
|
| 3.2743 | 11.0 | 1152 | 1.6965 | 1.0142 | |
|
| 3.2743 | 12.0 | 1257 | 1.4230 | 1.0011 | |
|
| 3.2743 | 12.99 | 1361 | 1.2679 | 0.9873 | |
|
| 3.2743 | 14.0 | 1466 | 1.1570 | 0.9836 | |
|
| 1.5432 | 15.0 | 1571 | 1.0858 | 0.9784 | |
|
| 1.5432 | 16.0 | 1676 | 1.0303 | 0.9769 | |
|
| 1.5432 | 16.99 | 1780 | 0.9855 | 0.9746 | |
|
| 1.5432 | 18.0 | 1885 | 0.9559 | 0.9709 | |
|
| 1.5432 | 19.0 | 1990 | 0.9328 | 0.9728 | |
|
| 0.902 | 20.0 | 2095 | 0.9166 | 0.9738 | |
|
| 0.902 | 20.99 | 2199 | 0.8991 | 0.9698 | |
|
| 0.902 | 22.0 | 2304 | 0.8717 | 0.9681 | |
|
| 0.902 | 23.0 | 2409 | 0.8665 | 0.9669 | |
|
| 0.7003 | 24.0 | 2514 | 0.8589 | 0.9670 | |
|
| 0.7003 | 24.99 | 2618 | 0.8420 | 0.9659 | |
|
| 0.7003 | 26.0 | 2723 | 0.8473 | 0.9661 | |
|
| 0.7003 | 27.0 | 2828 | 0.8543 | 0.9666 | |
|
| 0.7003 | 28.0 | 2933 | 0.8315 | 0.9623 | |
|
| 0.5914 | 28.99 | 3037 | 0.8281 | 0.9626 | |
|
| 0.5914 | 30.0 | 3142 | 0.8315 | 0.9625 | |
|
| 0.5914 | 31.0 | 3247 | 0.8261 | 0.9620 | |
|
| 0.5914 | 32.0 | 3352 | 0.8214 | 0.9640 | |
|
| 0.5914 | 32.99 | 3456 | 0.8310 | 0.9634 | |
|
| 0.5157 | 34.0 | 3561 | 0.8252 | 0.9635 | |
|
| 0.5157 | 35.0 | 3666 | 0.8373 | 0.9638 | |
|
| 0.5157 | 36.0 | 3771 | 0.8422 | 0.9629 | |
|
| 0.5157 | 36.99 | 3875 | 0.8294 | 0.9632 | |
|
| 0.5157 | 38.0 | 3980 | 0.8332 | 0.9576 | |
|
| 0.4655 | 39.0 | 4085 | 0.8330 | 0.9595 | |
|
| 0.4655 | 40.0 | 4190 | 0.8297 | 0.9625 | |
|
| 0.4655 | 40.99 | 4294 | 0.8365 | 0.9621 | |
|
| 0.4655 | 42.0 | 4399 | 0.8361 | 0.9621 | |
|
| 0.4266 | 43.0 | 4504 | 0.8416 | 0.9625 | |
|
| 0.4266 | 44.0 | 4609 | 0.8381 | 0.9634 | |
|
| 0.4266 | 44.99 | 4713 | 0.8448 | 0.9645 | |
|
| 0.4266 | 46.0 | 4818 | 0.8447 | 0.9625 | |
|
| 0.4266 | 47.0 | 4923 | 0.8464 | 0.9641 | |
|
| 0.4019 | 48.0 | 5028 | 0.8449 | 0.9628 | |
|
| 0.4019 | 48.99 | 5132 | 0.8487 | 0.9626 | |
|
| 0.4019 | 49.64 | 5200 | 0.8465 | 0.9629 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.7.0 |
|
- Tokenizers 0.13.3 |
|
|
