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BERTicSENTPOS6 – AI Model by Tanor | AlphaNeural AI
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Tanor
/
BERTicSENTPOS6
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transformers
pytorch
safetensors
electra
text-classification
generated_from_trainer
Tanor/BERTicSENTPOS6
finetune
autotrain_compatible
endpoints_compatible
us
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BERTicSENTPOS6
This model is a fine-tuned version of
Tanor/BERTicSENTPOS6
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0839
F1: 0.375
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
0.0589
0.4068
No log
1.9895
95
0.0592
0.3590
No log
2.9948
143
0.0663
0.4783
No log
4.0
191
0.0839
0.375
Framework versions
Transformers 4.40.1
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.19.1
