test-model

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3947
• Accuracy: 0.8833

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0551	0.9960	62	0.9662	0.5412
0.9308	1.9920	124	0.8707	0.5433
0.7962	2.9880	186	0.7354	0.6841
0.7254	4.0	249	0.7400	0.7042
0.5941	4.9960	311	0.5405	0.8169
0.4736	5.9920	373	0.5045	0.8471
0.4399	6.9880	435	0.4102	0.8813
0.374	8.0	498	0.4052	0.8813
0.3425	8.9960	560	0.4335	0.8632
0.3171	9.9598	620	0.3947	0.8833

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1