metadata
language:
- mt
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- 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 MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MT dataset. It achieves the following results on the evaluation set:
- Loss: 0.1895
- Wer: 0.1984
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 60.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4219 | 3.6 | 400 | 3.3127 | 1.0 |
| 3.0399 | 7.21 | 800 | 3.0330 | 1.0 |
| 1.5756 | 10.81 | 1200 | 0.6108 | 0.5724 |
| 1.0995 | 14.41 | 1600 | 0.3091 | 0.3154 |
| 0.9639 | 18.02 | 2000 | 0.2596 | 0.2841 |
| 0.9032 | 21.62 | 2400 | 0.2270 | 0.2514 |
| 0.8145 | 25.23 | 2800 | 0.2172 | 0.2483 |
| 0.7845 | 28.83 | 3200 | 0.2084 | 0.2333 |
| 0.7694 | 32.43 | 3600 | 0.1974 | 0.2234 |
| 0.7333 | 36.04 | 4000 | 0.2020 | 0.2185 |
| 0.693 | 39.64 | 4400 | 0.1947 | 0.2148 |
| 0.6802 | 43.24 | 4800 | 0.1960 | 0.2102 |
| 0.667 | 46.85 | 5200 | 0.1904 | 0.2072 |
| 0.6486 | 50.45 | 5600 | 0.1881 | 0.2009 |
| 0.6339 | 54.05 | 6000 | 0.1877 | 0.1989 |
| 0.6254 | 57.66 | 6400 | 0.1893 | 0.2003 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0