|
--- |
|
base_model: facebook/mms-1b-all |
|
datasets: |
|
- common_voice_17_0 |
|
library_name: transformers |
|
license: cc-by-nc-4.0 |
|
metrics: |
|
- wer |
|
- bleu |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: wav2vec2-mms-1b-CV17.0-training_set_variations |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: common_voice_17_0 |
|
type: common_voice_17_0 |
|
config: ta |
|
split: validation |
|
args: ta |
|
metrics: |
|
- type: wer |
|
value: 0.3597180870859695 |
|
name: Wer |
|
- type: bleu |
|
value: 0.4226157099926465 |
|
name: Bleu |
|
--- |
|
|
|
<!-- 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-mms-1b-CV17.0-training_set_variations |
|
|
|
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_17_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2047 |
|
- Wer: 0.3597 |
|
- Cer: 0.0579 |
|
- Bleu: 0.4226 |
|
|
|
## 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: 0.001 |
|
- 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_ratio: 0.15 |
|
- training_steps: 2000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu | |
|
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:| |
|
| 6.3615 | 0.3906 | 100 | 0.2954 | 0.4162 | 0.0682 | 0.3508 | |
|
| 0.2115 | 0.7812 | 200 | 0.2266 | 0.3822 | 0.0619 | 0.3888 | |
|
| 0.1868 | 1.1719 | 300 | 0.2227 | 0.3755 | 0.0608 | 0.3981 | |
|
| 0.1913 | 1.5625 | 400 | 0.2274 | 0.3912 | 0.0637 | 0.3779 | |
|
| 0.1896 | 1.9531 | 500 | 0.2263 | 0.3858 | 0.0631 | 0.3867 | |
|
| 0.1769 | 2.3438 | 600 | 0.2176 | 0.3785 | 0.0618 | 0.3942 | |
|
| 0.1752 | 2.7344 | 700 | 0.2162 | 0.3816 | 0.0614 | 0.3887 | |
|
| 0.1777 | 3.125 | 800 | 0.2098 | 0.3606 | 0.0582 | 0.4260 | |
|
| 0.1747 | 3.5156 | 900 | 0.2078 | 0.3657 | 0.0585 | 0.4111 | |
|
| 0.1672 | 3.9062 | 1000 | 0.2075 | 0.3770 | 0.0595 | 0.3920 | |
|
| 0.1583 | 4.2969 | 1100 | 0.2060 | 0.3631 | 0.0580 | 0.4137 | |
|
| 0.1713 | 4.6875 | 1200 | 0.2064 | 0.3664 | 0.0587 | 0.4118 | |
|
| 0.1563 | 5.0781 | 1300 | 0.2047 | 0.3597 | 0.0579 | 0.4226 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
|
|
