testing_pretrained_niger_mali

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9245
• Wer: 0.8889

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
6.427	35.29	300	2.9588	1.0
2.8653	70.59	600	2.7466	1.0
2.7675	105.88	900	2.7207	1.0
2.6674	141.18	1200	2.2285	1.0
1.7813	176.47	1500	1.5717	0.8852
1.0447	211.76	1800	1.7009	0.8778
0.8167	247.06	2100	1.8010	0.8815
0.7059	282.35	2400	1.8748	0.8815
0.6572	317.65	2700	1.9245	0.8889

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3