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google-fnet-base – AI Model by Mahmoud8 | AlphaNeural AI
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Mahmoud8
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google-fnet-base
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transformers
pytorch
tensorboard
fnet
text-classification
generated_from_trainer
google/fnet-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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google-fnet-base
This model is a fine-tuned version of
google/fnet-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2442
F1 Score: 0.9558
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Score
0.1884
1.0
3492
0.2634
0.9354
0.162
2.0
6984
0.2878
0.9371
0.0795
3.0
10476
0.2442
0.9558
0.0421
4.0
13968
0.2641
0.9566
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
