Model_G_S_P_Wav2Vec2

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

• Loss: 2.5098
• Wer: 0.5366
• Cer: 0.2277

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: 0.0003
• 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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.0449	3.49	400	1.7576	0.6270	0.2607
0.484	6.99	800	1.8072	0.6043	0.2536
0.3335	10.48	1200	2.0222	0.5892	0.2500
0.2559	13.97	1600	2.4174	0.5719	0.2448
0.1999	17.47	2000	2.2888	0.5566	0.2376
0.1546	20.96	2400	2.5271	0.5753	0.2400
0.1225	24.45	2800	2.4489	0.5427	0.2327
0.0983	27.95	3200	2.5098	0.5366	0.2277

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3