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whisper-emotion-ft – AI Model by yukat237 | AlphaNeural AI
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whisper-emotion-ft
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transformers
tensorboard
safetensors
generated_from_trainer
openai/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-emotion-ft
This model is a fine-tuned version of
openai/whisper-medium.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7132
Accuracy: 0.2837
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.7446
1.6835
200
1.7629
0.2837
1.6985
3.3629
400
1.7132
0.2837
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
