metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tun_msa_wav2vec4
results: []
tun_msa_wav2vec4
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0258
- Wer: 0.7054
- Cer: 0.2514
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 700
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.9443 | 6.7669 | 900 | 2.9731 | 0.9978 | 0.9143 |
| 2.385 | 13.5338 | 1800 | 1.4747 | 0.8366 | 0.3285 |
| 1.6027 | 20.3008 | 2700 | 1.1810 | 0.7617 | 0.2766 |
| 1.3459 | 27.0677 | 3600 | 1.0963 | 0.7317 | 0.2615 |
| 1.2812 | 33.8346 | 4500 | 1.0580 | 0.7240 | 0.2563 |
| 1.2156 | 40.6015 | 5400 | 1.0426 | 0.7127 | 0.2538 |
| 1.1119 | 47.3684 | 6300 | 1.0305 | 0.7069 | 0.2519 |
| 1.0993 | 54.1353 | 7200 | 1.0258 | 0.7054 | 0.2514 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1