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wav2vec2-base-finetuned-ks – AI Model by tataun | AlphaNeural AI | AlphaNeural AI
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wav2vec2-base-finetuned-ks
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
minds14
facebook/wav2vec2-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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wav2vec2-base-finetuned-ks
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: 2.6480
Accuracy: 0.0619
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.8
3
2.6480
0.0619
No log
1.87
7
2.6544
0.0354
2.6287
2.93
11
2.6558
0.0354
2.6287
4.0
15
2.6565
0.0354
Framework versions
Transformers 4.36.1
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
