metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-2.feature_ext-continue
results: []
tamasheq-99-2.feature_ext-continue
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3689
- Wer: 0.8342
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: 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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.4856 | 5.71 | 300 | 2.9956 | 0.9974 |
| 2.3903 | 11.43 | 600 | 1.2600 | 0.8816 |
| 0.9577 | 17.14 | 900 | 1.1878 | 0.8342 |
| 0.7051 | 22.86 | 1200 | 1.1907 | 0.8053 |
| 0.5821 | 28.57 | 1500 | 1.2621 | 0.8316 |
| 0.5037 | 34.29 | 1800 | 1.3689 | 0.8342 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3