|
--- |
|
license: apache-2.0 |
|
language: tr |
|
tags: |
|
- generated_from_trainer |
|
- hf-asr-leaderboard |
|
- robust-speech-event |
|
datasets: |
|
- common_voice |
|
model-index: |
|
- name: wav2vec2-xls-r-300m-Tr-med-CommonVoice8 |
|
results: |
|
- task: |
|
name: Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice tr |
|
type: common_voice |
|
args: tr |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 49.14 |
|
--- |
|
|
|
<!-- 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-xls-r-300m-Tr-med-CommonVoice8 |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2556 |
|
- Wer: 0.4914 |
|
|
|
## 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 |
|
- 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_steps: 300 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 1.4876 | 6.66 | 5000 | 0.3252 | 0.5784 | |
|
| 0.6919 | 13.32 | 10000 | 0.2720 | 0.5172 | |
|
| 0.5919 | 19.97 | 15000 | 0.2556 | 0.4914 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.11.3 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.18.1 |
|
- Tokenizers 0.10.3 |
|
|
