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wav2vec2_bert_fusion_iemocap – AI Model by Ar4ikov | AlphaNeural AI
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Ar4ikov
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wav2vec2_bert_fusion_iemocap
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transformers
pytorch
tensorboard
feature-extraction
generated_from_trainer
custom_code
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wav2vec2_bert_fusion_iemocap_1
This model is a fine-tuned version of
on the None dataset.
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: 0.0001
train_batch_size: 1
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.2
