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bert-base-turkish-cased-emotion-analysis – AI Model by maymuni | AlphaNeural AI
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maymuni
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bert-base-turkish-cased-emotion-analysis
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transformers
pytorch
safetensors
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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bert-base-turkish-cased-emotion-analysis
This model is a fine-tuned version of
dbmdz/bert-base-turkish-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0437
Accuracy: 0.995 ??
F1: 0.9950 ??
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
119
0.0378
0.99
0.9900
No log
2.0
238
0.0437
0.995
0.9950
Framework versions
Transformers 4.27.1
Pytorch 2.0.0+cpu
Datasets 2.10.1
Tokenizers 0.13.2
