metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-8
results: []
tamasheq-99-8
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4990
- Wer: 0.6059
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.617 | 6.0 | 300 | 3.2032 | 1.0 |
| 2.9621 | 12.0 | 600 | 1.6730 | 1.0339 |
| 0.9694 | 18.0 | 900 | 0.5657 | 0.6132 |
| 0.5765 | 24.0 | 1200 | 0.5097 | 0.6052 |
| 0.505 | 30.0 | 1500 | 0.4990 | 0.6059 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3