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emoBank_test1_epoch20_batch16 – AI Model by dgalik | AlphaNeural AI
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emoBank_test1_epoch20_batch16
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transformers
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tensorboard
distilbert
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emoBank_test1_epoch20_batch16
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0838
Mse V: 0.1213
Mse A: 0.0954
Mse D: 0.0348
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
