metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2_common_voice_accents_scotland
results: []
wav2vec2_common_voice_accents_scotland
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: 0.2752
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: 48
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 384
- total_eval_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 |
|---|---|---|---|
| 4.7171 | 1.28 | 400 | 1.1618 |
| 0.4391 | 2.56 | 800 | 0.2422 |
| 0.2259 | 3.83 | 1200 | 0.2071 |
| 0.1813 | 5.11 | 1600 | 0.2126 |
| 0.1531 | 6.39 | 2000 | 0.2010 |
| 0.1383 | 7.67 | 2400 | 0.2004 |
| 0.13 | 8.95 | 2800 | 0.2069 |
| 0.1193 | 10.22 | 3200 | 0.2081 |
| 0.1124 | 11.5 | 3600 | 0.2051 |
| 0.1023 | 12.78 | 4000 | 0.2175 |
| 0.097 | 14.06 | 4400 | 0.2261 |
| 0.0863 | 15.34 | 4800 | 0.2301 |
| 0.0823 | 16.61 | 5200 | 0.2334 |
| 0.079 | 17.89 | 5600 | 0.2252 |
| 0.0743 | 19.17 | 6000 | 0.2393 |
| 0.0696 | 20.45 | 6400 | 0.2481 |
| 0.0644 | 21.73 | 6800 | 0.2416 |
| 0.064 | 23.0 | 7200 | 0.2449 |
| 0.0584 | 24.28 | 7600 | 0.2660 |
| 0.0544 | 25.56 | 8000 | 0.2630 |
| 0.0523 | 26.84 | 8400 | 0.2677 |
| 0.0494 | 28.12 | 8800 | 0.2730 |
| 0.0462 | 29.39 | 9200 | 0.2752 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.4
- Tokenizers 0.11.6