Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
AST_EmoRecog_Model_v3 – AI Model by yenrong | AlphaNeural AI
You can deploy this model and start earning money today!
yenrong
/
AST_EmoRecog_Model_v3
like
0
transformers
tensorboard
safetensors
audio-spectrogram-transformer
audio-classification
generated_from_trainer
en
MIT/ast-finetuned-audioset-10-10-0.4593
finetune
bsd-3-clause
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
AST_EmoRecog_Model_v3
This model is a fine-tuned version of
MIT/ast-finetuned-audioset-10-10-0.4593
on the
IEMOCAP
dataset. It achieves the following results on the evaluation set:
Loss: 1.2233
Accuracy: 0.5299
Recall: 0.3967
Precision: 0.5460
F1: 0.3992
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Recall
Precision
F1
1.4346
1.0
377
1.2955
0.5186
0.3738
0.5319
0.3590
1.138
2.0
754
1.2554
0.5212
0.3942
0.5089
0.3824
0.9068
3.0
1131
1.2233
0.5299
0.3967
0.5460
0.3992
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
