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roberta-base_mod – AI Model by damapika | AlphaNeural AI
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damapika
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roberta-base_mod
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
quoref
mit
endpoints_compatible
us
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roberta-base_mod
This model is a fine-tuned version of
roberta-base
on the quoref dataset. It achieves the following results on the evaluation set:
Loss: 1.5400
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.6272
1.0
1213
1.4654
1.0583
2.0
2426
1.4134
0.6854
3.0
3639
1.5400
Framework versions
Transformers 4.29.2
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
