|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: facebook/mms-1b-l1107 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-large-mms-1b-korean-colab |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_13_0 |
|
type: common_voice_13_0 |
|
config: ko |
|
split: test |
|
args: ko |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.9929506545820745 |
|
--- |
|
|
|
<!-- 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-mms-1b-korean-colab |
|
|
|
This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on the common_voice_13_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 7.8135 |
|
- Wer: 0.9930 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 10.9747 | 2.63 | 100 | 7.8812 | 0.9990 | |
|
| 5.9431 | 5.26 | 200 | 8.2212 | 0.9960 | |
|
| 5.7372 | 7.89 | 300 | 8.1054 | 0.9930 | |
|
| 5.2582 | 10.53 | 400 | 8.2347 | 0.9940 | |
|
| 3.8725 | 13.16 | 500 | 7.7536 | 0.9940 | |
|
| 3.4454 | 15.79 | 600 | 7.7220 | 0.9930 | |
|
| 2.5989 | 18.42 | 700 | 7.8135 | 0.9930 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
