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: 1.5169
- Wer: 0.8575
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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.0502 | 15.79 | 300 | 3.0170 | 0.9972 |
| 2.2958 | 31.58 | 600 | 1.2753 | 0.8575 |
| 0.5807 | 47.37 | 900 | 1.2622 | 0.8547 |
| 0.3897 | 63.16 | 1200 | 1.3396 | 0.8603 |
| 0.311 | 78.95 | 1500 | 1.4590 | 0.8743 |
| 0.2819 | 94.74 | 1800 | 1.5169 | 0.8575 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3