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BulBERT-xnli-2epochs – AI Model by mor40 | AlphaNeural AI
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mor40
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BulBERT-xnli-2epochs
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transformers
pytorch
bert
text-classification
generated_from_trainer
bgglue
mor40/BulBERT-chitanka-model
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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BulBERT-xnli-2epochs
This model is a fine-tuned version of
mor40/BulBERT-chitanka-model
on the bgglue dataset. It achieves the following results on the evaluation set:
Loss: 0.7013
Accuracy: 0.7016
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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7543
1.0
8182
0.7510
0.6731
0.6804
2.0
16364
0.7013
0.7016
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
