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roberta-small-fever – AI Model by pepa | AlphaNeural AI
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roberta-small-fever
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transformers
pytorch
roberta
text-classification
generated_from_trainer
copenlu/fever_gold_evidence
autotrain_compatible
endpoints_compatible
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roberta-small-fever
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6096
eval_p: 0.8179
eval_r: 0.8110
eval_f1: 0.8104
eval_runtime: 36.258
eval_samples_per_second: 518.644
eval_steps_per_second: 64.841
step: 0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 4
Framework versions
Transformers 4.21.1
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.12.1