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results – AI Model by EALeon16 | AlphaNeural AI
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EALeon16
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results
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
BSC-TeMU/roberta-base-bne
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9229
Accuracy: 0.7586
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: 2
eval_batch_size: 2
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
0.9119
1.0
258
0.8750
0.7241
0.8307
2.0
516
0.9229
0.7586
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
