|
--- |
|
license: apache-2.0 |
|
base_model: pinot/wav2vec2-xls-r-300m-ja-cv-14_4 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- audiofolder |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: cv-14-rakugo |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: audiofolder |
|
type: audiofolder |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.6459627329192547 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# cv-14-rakugo |
|
|
|
This model is a fine-tuned version of [pinot/wav2vec2-xls-r-300m-ja-cv-14_4](https://huggingface.co/pinot/wav2vec2-xls-r-300m-ja-cv-14_4) on the audiofolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 5.1127 |
|
- Wer: 0.6460 |
|
|
|
## 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: 0.1 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| No log | 0.59 | 1 | 12.0211 | 0.3851 | |
|
| No log | 1.78 | 3 | 12.0211 | 0.3851 | |
|
| No log | 2.96 | 5 | 5.0175 | 0.4161 | |
|
| No log | 3.56 | 6 | 2.7911 | 0.5093 | |
|
| No log | 4.74 | 8 | 2.4989 | 0.5093 | |
|
| No log | 5.93 | 10 | 4.0524 | 0.4907 | |
|
| No log | 6.52 | 11 | 3.6691 | 0.4720 | |
|
| No log | 7.7 | 13 | 4.6285 | 0.5280 | |
|
| No log | 8.89 | 15 | 4.5016 | 0.5652 | |
|
| No log | 9.48 | 16 | 4.4013 | 0.5776 | |
|
| No log | 10.67 | 18 | 4.3718 | 0.6025 | |
|
| No log | 11.85 | 20 | 5.1127 | 0.6460 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
