|
--- |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-large-xlsr-53 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: XLS-R-demo-google-colab-Ezra_William_Prod_3 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_13_0 |
|
type: common_voice_13_0 |
|
config: id |
|
split: validation |
|
args: id |
|
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. --> |
|
|
|
# XLS-R-demo-google-colab-Ezra_William_Prod_3 |
|
|
|
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_13_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3315 |
|
- 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: 0.0001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---:| |
|
| 5.5808 | 1.0 | 121 | 2.9812 | 1.0 | |
|
| 2.9599 | 2.0 | 242 | 2.9396 | 1.0 | |
|
| 2.9317 | 3.0 | 363 | 2.9082 | 1.0 | |
|
| 2.9194 | 4.0 | 484 | 2.9076 | 1.0 | |
|
| 2.9058 | 5.0 | 605 | 2.8958 | 1.0 | |
|
| 2.8962 | 6.0 | 726 | 2.8816 | 1.0 | |
|
| 2.8732 | 7.0 | 847 | 2.8341 | 1.0 | |
|
| 2.8555 | 8.0 | 968 | 2.6998 | 1.0 | |
|
| 2.7654 | 9.0 | 1089 | 2.4282 | 1.0 | |
|
| 2.4844 | 10.0 | 1210 | 2.3315 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.3 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
