|
--- |
|
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: 0.4250355227574827 |
|
name: Wer |
|
- type: bleu |
|
value: 0.3461897882903843 |
|
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: 0.3320 |
|
- Wer: 0.4250 |
|
- Cer: 0.0720 |
|
- Bleu: 0.3462 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
|
| 11.5156 | 6.25 | 50 | 5.5076 | 1.0 | 0.9701 | 0.0 | |
|
| 1.8133 | 12.5 | 100 | 0.2759 | 0.4067 | 0.0674 | 0.3610 | |
|
| 0.1751 | 18.75 | 150 | 0.2414 | 0.3828 | 0.0639 | 0.3924 | |
|
| 0.1315 | 25.0 | 200 | 0.2556 | 0.3887 | 0.0649 | 0.3901 | |
|
| 0.1 | 31.25 | 250 | 0.2842 | 0.4168 | 0.0700 | 0.3520 | |
|
| 0.0842 | 37.5 | 300 | 0.2997 | 0.4133 | 0.0699 | 0.3571 | |
|
| 0.0717 | 43.75 | 350 | 0.3210 | 0.4260 | 0.0732 | 0.3431 | |
|
| 0.0608 | 50.0 | 400 | 0.3320 | 0.4250 | 0.0720 | 0.3462 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
|
|
