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wavlm_handcrafted_feat3 – AI Model by wbcmthh42 | AlphaNeural AI
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wavlm_handcrafted_feat3
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transformers
safetensors
wavlm
audio-classification
generated_from_trainer
microsoft/wavlm-base-plus
finetune
endpoints_compatible
us
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wavlm_handcrafted_feat3
This model is a fine-tuned version of
microsoft/wavlm-base-plus
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6121
F1: 0.7785
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.5362
1.0
3777
0.6599
0.7557
0.485
2.0
7555
0.6121
0.7785
0.5009
3.0
11331
0.6301
0.7743
Framework versions
Transformers 4.38.1
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
