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BERTicSENTNEG4 – AI Model by Tanor | AlphaNeural AI
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Tanor
/
BERTicSENTNEG4
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transformers
pytorch
safetensors
electra
text-classification
generated_from_trainer
Tanor/BERTicSENTNEG4
finetune
autotrain_compatible
endpoints_compatible
us
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BERTicSENTNEG4
This model is a fine-tuned version of
Tanor/BERTicSENTNEG4
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0401
F1: 0.6667
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: 64
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 32
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
0.9843
47
0.0288
0.7317
No log
1.9895
95
0.0265
0.7619
No log
2.9948
143
0.0327
0.7727
No log
4.0
191
0.0333
0.7111
No log
4.9843
238
0.0401
0.6667
Framework versions
Transformers 4.40.1
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.19.1
