|
--- |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-large-xlsr-53 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_6_1 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-large-morrnla-ar-colab |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_6_1 |
|
type: common_voice_6_1 |
|
config: ar |
|
split: test[10:20] |
|
args: ar |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 1.0 |
|
--- |
|
|
|
<!-- 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-morrnla-ar-colab |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_6_1 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.5524 |
|
- Wer: 1.0 |
|
|
|
## 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: 0.0003 |
|
- 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: 20 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---:| |
|
| 16.4983 | 3.33 | 10 | 23.6467 | 1.0 | |
|
| 8.0393 | 6.67 | 20 | 7.4047 | 1.0 | |
|
| 4.2297 | 10.0 | 30 | 4.1771 | 1.0 | |
|
| 3.6003 | 13.33 | 40 | 3.8565 | 1.0 | |
|
| 3.4788 | 16.67 | 50 | 3.5921 | 1.0 | |
|
| 3.4111 | 20.0 | 60 | 3.5524 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.0.dev0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
