metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-1b-Irish
results: []
wav2vec2-large-xls-r-1b-Irish
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.3599
- Wer: 0.4236
- Cer: 0.1768
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 6.3955 | 12.48 | 100 | 2.9897 | 1.0 | 1.0 |
| 2.3811 | 24.97 | 200 | 1.2304 | 0.7140 | 0.3106 |
| 1.0476 | 37.48 | 300 | 1.0661 | 0.5597 | 0.2407 |
| 0.7014 | 49.97 | 400 | 1.1788 | 0.4799 | 0.1947 |
| 0.4409 | 62.48 | 500 | 1.2649 | 0.4658 | 0.1997 |
| 0.4839 | 74.97 | 600 | 1.3259 | 0.4450 | 0.1868 |
| 0.3643 | 87.48 | 700 | 1.3506 | 0.4312 | 0.1760 |
| 0.3468 | 99.97 | 800 | 1.3599 | 0.4236 | 0.1768 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0