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BERTovoSENTPOS2 – AI Model by Tanor | AlphaNeural AI
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Tanor
/
BERTovoSENTPOS2
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transformers
pytorch
roberta
text-classification
generated_from_trainer
Tanor/BERTicovoSENTPOS2
finetune
autotrain_compatible
endpoints_compatible
us
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BERTovoSENTPOS2
This model is a fine-tuned version of
Tanor/BERTicovoSENTPOS2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0573
F1: 0.4706
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
0.99
47
0.0541
0.0952
No log
2.0
95
0.0451
0.5294
No log
2.99
142
0.0464
0.4706
No log
4.0
190
0.0570
0.5
No log
4.99
237
0.0573
0.4706
Framework versions
Transformers 4.31.0
Pytorch 2.1.0.dev20230801
Datasets 2.14.2
Tokenizers 0.13.3
