my_awesome_mind_model

Juardo/my_awesome_mind_model

my_awesome_mind_model is a audio classification model from Juardo. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Audio Classification
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: May 22, 2023
Updated: May 22, 2023
SHA: 5a1d06b7

Datasets

minds14

Model card

From the Hugging Face model README

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: nan
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: 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	0.8	3	nan	0.0796
No log	1.87	7	nan	0.0796
95.4018	2.93	11	nan	0.0796
95.4018	4.0	15	nan	0.0796
95.4018	4.8	18	nan	0.0796
0.0	5.87	22	nan	0.0796
0.0	6.93	26	nan	0.0796
0.0	8.0	30	nan	0.0796

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 22, 2023
Updated: May 22, 2023