tamasheq-99-2.feature_ext-continue

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

• Loss: 1.3689
• Wer: 0.8342

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
7.4856	5.71	300	2.9956	0.9974
2.3903	11.43	600	1.2600	0.8816
0.9577	17.14	900	1.1878	0.8342
0.7051	22.86	1200	1.1907	0.8053
0.5821	28.57	1500	1.2621	0.8316
0.5037	34.29	1800	1.3689	0.8342

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3