seq-xls-r-fleurs_nl-run2-asr_af-run7
This model is a fine-tuned version of lucas-meyer/xls-r-fleurs_nl-run2 on the asr_af dataset. It achieves the following results:
- Wer (Validation): 36.72%
- Wer (Test): 37.16%
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) |
|---|---|---|---|---|
| 4.8229 | 1.47 | 250 | 2.7832 | 0.9998 |
| 1.1565 | 2.93 | 500 | 0.5693 | 0.4932 |
| 0.3893 | 4.4 | 750 | 0.4765 | 0.4026 |
| 0.2536 | 5.87 | 1000 | 0.3951 | 0.3669 |
| 0.1756 | 7.33 | 1250 | 0.4565 | 0.3814 |
| 0.1384 | 8.8 | 1500 | 0.4923 | 0.3606 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 4
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.