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BERTicSENTPOS2 – AI Model by Tanor | AlphaNeural AI
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Tanor
/
BERTicSENTPOS2
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transformers
pytorch
safetensors
electra
text-classification
generated_from_trainer
Tanor/BERTicSENTPOS2
finetune
autotrain_compatible
endpoints_compatible
us
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BERTicSENTPOS2
This model is a fine-tuned version of
Tanor/BERTicSENTPOS2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0528
F1: 0.5405
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
0.9895
47
0.0432
0.4848
No log
2.0
95
0.0475
0.5366
No log
2.9895
142
0.0454
0.5625
No log
4.0
190
0.0528
0.5405
Framework versions
Transformers 4.40.1
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.19.1
