metadata
base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Kabyle_xlsr-finetuned-tamasheq.en
results: []
Kabyle_xlsr-finetuned-tamasheq.en
This model is a fine-tuned version of ad019el/Kabyle_xlsr-finetuned-tamasheq.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5106
- Wer: 0.8739
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 |
|---|---|---|---|---|
| 3.637 | 3.41 | 300 | 1.9770 | 1.0348 |
| 1.1027 | 6.82 | 600 | 1.3353 | 0.8913 |
| 0.7367 | 10.23 | 900 | 1.4064 | 0.8855 |
| 0.6037 | 13.64 | 1200 | 1.3830 | 0.8768 |
| 0.529 | 17.05 | 1500 | 1.5106 | 0.8739 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3