xls-r-asr_xh-run7
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the asr_xh dataset. It achieves the following results:
- Wer (Validation): 55.13%
- Wer (Test): 52.11%
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 | Wer (Train) |
|---|---|---|---|---|
| 6.1294 | 1.59 | 250 | 3.0258 | 1.0 |
| 1.8726 | 3.18 | 500 | 0.7953 | 0.8526 |
| 0.6065 | 4.78 | 750 | 0.5099 | 0.6676 |
| 0.3769 | 6.37 | 1000 | 0.4647 | 0.6016 |
| 0.2652 | 7.96 | 1250 | 0.4966 | 0.5967 |
| 0.1992 | 9.55 | 1500 | 0.4320 | 0.5507 |
| 0.1573 | 11.15 | 1750 | 0.4762 | 0.5475 |
| 0.1252 | 12.74 | 2000 | 0.5147 | 0.5157 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 8
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.