<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
tamasheq-99-4
This model is a fine-tuned version of ad019el/tamasheq-99-3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4171
- Wer: 0.5023
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 |
---|---|---|---|---|
4.6333 | 6.0 | 300 | 0.9004 | 0.8052 |
0.3546 | 12.0 | 600 | 0.4558 | 0.4961 |
0.1422 | 18.0 | 900 | 0.4620 | 0.5105 |
0.1298 | 24.0 | 1200 | 0.4461 | 0.5043 |
0.1706 | 30.0 | 1500 | 0.4171 | 0.5023 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3