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emoBank_test2 – AI Model by dgalik | AlphaNeural AI
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dgalik
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emoBank_test2
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transformers
pytorch
tensorboard
distilbert
generated_from_trainer
endpoints_compatible
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emoBank_test2
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0791
Mse V: 0.1307
Mse A: 0.0598
Mse D: 0.0469
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
