|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice |
|
model-index: |
|
- name: wav2vec2-large-xls-r-300m-tr-colab |
|
results: [] |
|
--- |
|
|
|
<!-- 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-tr-colab |
|
|
|
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: 0.4029 |
|
- Wer: 0.3116 |
|
|
|
## 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: 0.0003 |
|
- 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: 500 |
|
- num_epochs: 30 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 3.8607 | 3.67 | 400 | 0.7144 | 0.7305 | |
|
| 0.4094 | 7.34 | 800 | 0.4222 | 0.5035 | |
|
| 0.1958 | 11.01 | 1200 | 0.4438 | 0.4228 | |
|
| 0.1353 | 14.68 | 1600 | 0.4536 | 0.3914 | |
|
| 0.1062 | 18.35 | 2000 | 0.4161 | 0.3659 | |
|
| 0.0791 | 22.02 | 2400 | 0.4192 | 0.3366 | |
|
| 0.0635 | 25.69 | 2800 | 0.4048 | 0.3225 | |
|
| 0.0511 | 29.36 | 3200 | 0.4029 | 0.3116 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.23.0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.5.2 |
|
- Tokenizers 0.13.1 |
|
|
