tamasheq-99-2

This model is a fine-tuned version of ad019el/tamasheq-99-2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1325
• Wer: 0.8412

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
4.2316	4.62	300	2.8431	1.0147
2.0332	9.23	600	1.2104	0.8265
1.307	13.85	900	1.0923	0.8324
1.0941	18.46	1200	1.1327	0.8176
1.016	23.08	1500	1.1560	0.8235
0.9744	27.69	1800	1.1325	0.8412

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3