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emoBank_test2_epoch20_batch16_lr1e-5 – AI Model by dgalik | AlphaNeural AI
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emoBank_test2_epoch20_batch16_lr1e-5
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transformers
pytorch
tensorboard
distilbert
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endpoints_compatible
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emoBank_test2_epoch20_batch16_lr1e-5
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0858
Mse V: 0.1301
Mse A: 0.0693
Mse D: 0.0580
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: 1e-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
