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Twitter_Ohne_HPSearch – AI Model by toasthans | AlphaNeural AI
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Twitter_Ohne_HPSearch
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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Twitter_Ohne_HPSearch
This model is a fine-tuned version of
bert-base-german-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0262
Accuracy: 0.8300
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: 5e-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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
421
0.4296
0.8181
0.4451
2.0
842
0.4889
0.8240
0.1761
3.0
1263
0.9503
0.8103
0.0486
4.0
1684
1.0262
0.8300
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3
