metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.5349
- Wer: 2.6274
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: 7.5e-05
- train_batch_size: 48
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 50.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.221 | 4.5 | 1000 | 4.1195 | 2.4024 |
| 2.3597 | 9.01 | 2000 | 1.1024 | 2.7618 |
| 1.8795 | 13.51 | 3000 | 0.7498 | 2.5885 |
| 1.7143 | 18.02 | 4000 | 0.6539 | 2.5976 |
| 1.6025 | 22.52 | 5000 | 0.5989 | 2.6034 |
| 1.5403 | 27.03 | 6000 | 0.6035 | 2.6946 |
| 1.4773 | 31.53 | 7000 | 0.5647 | 2.5558 |
| 1.4228 | 36.04 | 8000 | 0.5477 | 2.5676 |
| 1.3801 | 40.54 | 9000 | 0.5413 | 2.6192 |
| 1.3558 | 45.05 | 10000 | 0.5343 | 2.6575 |
| 1.3298 | 49.55 | 11000 | 0.5349 | 2.6274 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0