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roberta-base-filtered-cuad – AI Model by alex-apostolo | AlphaNeural AI
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alex-apostolo
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roberta-base-filtered-cuad
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
alex-apostolo/filtered-cuad
mit
endpoints_compatible
us
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roberta-base-filtered-cuad
This model is a fine-tuned version of
roberta-base
on the cuad dataset. It achieves the following results on the evaluation set:
Loss: 0.0396
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: 32
eval_batch_size: 32
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
0.0502
1.0
8442
0.0467
0.0397
2.0
16884
0.0436
0.032
3.0
25326
0.0396
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
