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BulBERT-cinexio-5pochs – AI Model by mor40 | AlphaNeural AI
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mor40
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BulBERT-cinexio-5pochs
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transformers
pytorch
bert
text-classification
generated_from_trainer
mor40/BulBERT-finetuned-cinexio
finetune
autotrain_compatible
endpoints_compatible
us
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BulBERT-cinexio-5pochs
This model is a fine-tuned version of
mor40/BulBERT-finetuned-cinexio
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1071
Accuracy: 0.97
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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
388
0.2160
0.92
0.244
2.0
776
0.1136
0.95
0.2092
3.0
1164
0.1366
0.95
0.1607
4.0
1552
0.1228
0.94
0.1607
5.0
1940
0.1071
0.97
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1