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wav2vec2-base-finetuned-ks – AI Model by linh81 | AlphaNeural AI
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wav2vec2-base-finetuned-ks
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-base-finetuned-ks
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6647
Accuracy: 0.8163
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
0.8889
6
0.9422
0.6327
No log
1.9259
13
0.8084
0.6327
No log
2.9630
20
0.7115
0.7959
No log
4.0
27
0.6647
0.8163
No log
4.4444
30
0.6585
0.8163
Framework versions
Transformers 4.41.2
Pytorch 2.2.2+cpu
Datasets 2.19.2
Tokenizers 0.19.1
