metadata
base_model: YassineBenlaria/testing_pretrained_tamasheq_only
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: testing_pretrained_tamasheq_only
results: []
testing_pretrained_tamasheq_only
This model is a fine-tuned version of YassineBenlaria/testing_pretrained_tamasheq_only on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4042
- Wer: 0.8037
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: 350
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6733 | 35.29 | 300 | 2.7902 | 1.0 |
| 2.3267 | 70.59 | 600 | 1.7481 | 0.8778 |
| 1.003 | 105.88 | 900 | 1.8251 | 0.8 |
| 0.6905 | 141.18 | 1200 | 2.0436 | 0.8148 |
| 0.5074 | 176.47 | 1500 | 2.1611 | 0.8259 |
| 0.3883 | 211.76 | 1800 | 2.2562 | 0.8333 |
| 0.3431 | 247.06 | 2100 | 2.3761 | 0.8148 |
| 0.3053 | 282.35 | 2400 | 2.3995 | 0.8074 |
| 0.2898 | 317.65 | 2700 | 2.4042 | 0.8037 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3