tamasheq-99-new-data

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

• Loss: 0.4502
• Wer: 0.5910

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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.4543	9.8	500	0.8448	0.7354
0.3588	19.61	1000	0.4527	0.6020
0.2012	29.41	1500	0.4490	0.5950
0.1739	39.22	2000	0.4547	0.5950
0.1634	49.02	2500	0.4502	0.5910

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3