metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: testing_pretrained_tamasheq_only
results: []
testing_pretrained_tamasheq_only
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5616
- Wer: 0.8593
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: 250
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.486 | 35.29 | 300 | 2.9498 | 1.0 |
| 2.859 | 70.59 | 600 | 2.7420 | 1.0 |
| 2.7652 | 105.88 | 900 | 2.7188 | 1.0 |
| 2.6354 | 141.18 | 1200 | 2.2511 | 1.0 |
| 1.9486 | 176.47 | 1500 | 1.5854 | 0.9111 |
| 1.3512 | 211.76 | 1800 | 1.5616 | 0.8593 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3