metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: ad019el/tamasheq-98-1
model-index:
- name: tamasheq-98-2
results: []
tamasheq-98-2
This model is a fine-tuned version of ad019el/tamasheq-98-1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5349
- Wer: 0.9667
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.6372 | 9.62 | 500 | 2.3244 | 1.0519 |
| 0.5009 | 19.23 | 1000 | 1.4651 | 0.9444 |
| 0.2431 | 28.85 | 1500 | 1.5561 | 0.9741 |
| 0.2013 | 38.46 | 2000 | 1.6960 | 1.0407 |
| 0.1857 | 48.08 | 2500 | 1.5349 | 0.9667 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1