my_mind_model

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

• Loss: 2.6450
• Accuracy: 0.0929

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.73	2	2.6408	0.0752
No log	1.82	5	2.6441	0.0619
No log	2.91	8	2.6435	0.0973
2.6293	4.0	11	2.6446	0.0885
2.6293	4.73	13	2.6449	0.0841
2.6293	5.82	16	2.6463	0.0841
2.6293	6.91	19	2.6452	0.0885
2.6177	7.27	20	2.6450	0.0929

Framework versions

• Transformers 4.27.2
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2