|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice |
|
model-index: |
|
- name: '' |
|
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. --> |
|
|
|
# |
|
|
|
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: 45.7297 |
|
- 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: 0.0003 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 1 |
|
- 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: 500 |
|
- num_epochs: 1.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---:| |
|
| No log | 0.05 | 10 | 239.0014 | 1.0 | |
|
| No log | 0.1 | 20 | 235.8207 | 1.0 | |
|
| No log | 0.15 | 30 | 226.9009 | 1.0 | |
|
| No log | 0.21 | 40 | 198.0769 | 1.0 | |
|
| No log | 0.26 | 50 | 166.6728 | 1.0 | |
|
| No log | 0.31 | 60 | 149.1445 | 1.0 | |
|
| No log | 0.36 | 70 | 138.4403 | 1.0 | |
|
| No log | 0.41 | 80 | 131.7249 | 1.0 | |
|
| No log | 0.46 | 90 | 125.5583 | 1.0 | |
|
| No log | 0.51 | 100 | 119.7515 | 1.0 | |
|
| No log | 0.56 | 110 | 113.7283 | 1.0 | |
|
| No log | 0.62 | 120 | 107.2455 | 1.0 | |
|
| No log | 0.67 | 130 | 100.2172 | 1.0 | |
|
| No log | 0.72 | 140 | 92.5585 | 1.0 | |
|
| No log | 0.77 | 150 | 84.2573 | 1.0 | |
|
| No log | 0.82 | 160 | 75.2953 | 1.0 | |
|
| No log | 0.87 | 170 | 65.6953 | 1.0 | |
|
| No log | 0.92 | 180 | 55.7544 | 1.0 | |
|
| No log | 0.97 | 190 | 45.7297 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0.dev0 |
|
- Pytorch 1.10.2+cu102 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.11.0 |
|
|
