|
--- |
|
license: apache-2.0 |
|
base_model: ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-large-xlsr-53-AsanteTwi-06second |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_13_0 |
|
type: common_voice_13_0 |
|
config: tw |
|
split: test |
|
args: tw |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.4375 |
|
--- |
|
|
|
<!-- 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-large-xlsr-53-AsanteTwi-06second |
|
|
|
This model is a fine-tuned version of [ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06](https://huggingface.co/ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06) on the common_voice_13_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6678 |
|
- Wer: 0.4375 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- 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: 200 |
|
- num_epochs: 120 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:------:| |
|
| 3.0992 | 16.67 | 100 | 2.4101 | 1.0 | |
|
| 0.3622 | 33.33 | 200 | 0.8652 | 0.4375 | |
|
| 0.1804 | 50.0 | 300 | 0.8567 | 0.4375 | |
|
| 0.1412 | 66.67 | 400 | 0.8914 | 0.5625 | |
|
| 0.1193 | 83.33 | 500 | 0.6723 | 0.4375 | |
|
| 0.1063 | 100.0 | 600 | 0.6634 | 0.4375 | |
|
| 0.0976 | 116.67 | 700 | 0.6678 | 0.4375 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
