wav2vec2-base-finetuned-minds-4 – AI Model by saketag73 | AlphaNeural AI

You can deploy this model and start earning money today!

saketag73/
wav2vec2-base-finetuned-minds-4

like

0

audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

Views

No views yet

wav2vec2-base-finetuned-minds-4

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: 2.6086
Accuracy: 0.1327

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	2.6369	0.0885
No log	1.87	7	2.6276	0.0885
2.6323	2.93	11	2.6218	0.1062
2.6323	4.0	15	2.6169	0.1062
2.6323	4.8	18	2.6137	0.0973
2.6043	5.87	22	2.6114	0.1327
2.6043	6.93	26	2.6093	0.1239
2.5836	8.0	30	2.6086	0.1327

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2