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BERTovoSENTNEG6 – AI Model by Tanor | AlphaNeural AI
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Tanor
/
BERTovoSENTNEG6
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transformers
pytorch
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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BERTovoSENTNEG6
This model is a fine-tuned version of
Tanor/BERTicovoSENTNEG6
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0837
F1: 0.4878
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
1.0
53
0.0536
0.0769
No log
2.0
106
0.0482
0.5909
No log
3.0
159
0.0610
0.5532
No log
4.0
212
0.0718
0.5
No log
5.0
265
0.0837
0.4878
Framework versions
Transformers 4.30.2
Pytorch 2.0.1
Datasets 2.13.1
Tokenizers 0.13.3
