metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: seq-xls-r-fleurs_zu-run3-asr_xh-run10
results: []
seq-xls-r-fleurs_zu-run3-asr_xh-run10
This model is a fine-tuned version of lucas-meyer/xls-r-fleurs_zu-run3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4363
- Wer: 0.4998
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: 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 |
|---|---|---|---|---|
| 5.4903 | 1.59 | 250 | 0.9489 | 0.7525 |
| 0.6278 | 3.18 | 500 | 0.4877 | 0.6284 |
| 0.3831 | 4.78 | 750 | 0.4181 | 0.5640 |
| 0.2639 | 6.37 | 1000 | 0.3858 | 0.5018 |
| 0.1961 | 7.96 | 1250 | 0.4228 | 0.4995 |
| 0.1579 | 9.55 | 1500 | 0.4363 | 0.4998 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3