metadata
language:
- lv
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-latvian
results: []
wav2vec2-large-xls-r-300m-latvian
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - LV dataset. It achieves the following results on the evaluation set:
- Loss: 0.1892
- Wer: 0.1698
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: 7e-05
- train_batch_size: 32
- eval_batch_size: 1
- 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: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4235 | 12.82 | 2000 | 0.4475 | 0.4551 |
| 0.9383 | 25.64 | 4000 | 0.2235 | 0.2328 |
| 0.8359 | 38.46 | 6000 | 0.2004 | 0.2098 |
| 0.7633 | 51.28 | 8000 | 0.1960 | 0.1882 |
| 0.7001 | 64.1 | 10000 | 0.1902 | 0.1809 |
| 0.652 | 76.92 | 12000 | 0.1979 | 0.1775 |
| 0.6025 | 89.74 | 14000 | 0.1866 | 0.1696 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.11.0