my_awesome_mind_model – AI Model by com0040 | AlphaNeural AI

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my_awesome_mind_model

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audio-classification

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my_awesome_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: 2.6577
Accuracy: 0.0796

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
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	1.0	2	2.6410	0.1150
No log	2.0	4	2.6397	0.0973
No log	3.0	6	2.6440	0.0796
No log	4.0	8	2.6489	0.0619
2.6328	5.0	10	2.6504	0.0708
2.6328	6.0	12	2.6538	0.0619
2.6328	7.0	14	2.6567	0.0619
2.6328	8.0	16	2.6579	0.0619
2.6328	9.0	18	2.6576	0.0708
2.6234	10.0	20	2.6577	0.0796

Framework versions

Transformers 4.30.2
Pytorch 1.9.0+cu102
Datasets 2.13.2
Tokenizers 0.13.3