|
--- |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-xls-r-300m |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- ml-superb-subset |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-large-xls-r-300m-ml-superb-xty |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: ml-superb-subset |
|
type: ml-superb-subset |
|
config: xty |
|
split: test |
|
args: xty |
|
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-xls-r-300m-ml-superb-xty |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the ml-superb-subset dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.2130 |
|
- 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: 3e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 30 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:---:| |
|
| 8.25 | 0.8219 | 30 | 6.0908 | 1.0 | |
|
| 4.6254 | 1.6438 | 60 | 4.0849 | 1.0 | |
|
| 3.87 | 2.4658 | 90 | 3.7436 | 1.0 | |
|
| 3.6415 | 3.2877 | 120 | 3.5797 | 1.0 | |
|
| 3.502 | 4.1096 | 150 | 3.4716 | 1.0 | |
|
| 3.3476 | 4.9315 | 180 | 3.3731 | 1.0 | |
|
| 3.2852 | 5.7534 | 210 | 3.3274 | 1.0 | |
|
| 3.2806 | 6.5753 | 240 | 3.2766 | 1.0 | |
|
| 3.1827 | 7.3973 | 270 | 3.2398 | 1.0 | |
|
| 3.1649 | 8.2192 | 300 | 3.2373 | 1.0 | |
|
| 3.1544 | 9.0411 | 330 | 3.2119 | 1.0 | |
|
| 3.1401 | 9.8630 | 360 | 3.2130 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
