Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
wav2vec-base-finetuned-ravdess – AI Model by VasilisAsim | AlphaNeural AI
You can deploy this model and start earning money today!
VasilisAsim
/
wav2vec-base-finetuned-ravdess
like
0
transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
wav2vec-base-finetuned-ravdess
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9633
Accuracy: 0.8125
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.0990
1.0
72
1.8322
0.375
3.7014
2.0
144
1.4526
0.5521
2.7254
3.0
216
1.1534
0.7535
2.3369
4.0
288
0.9633
0.8125
1.8129
5.0
360
0.9235
0.7951
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
