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distilbert-base-uncased-finetuned-cuad – AI Model by danlobo | AlphaNeural AI
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danlobo
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distilbert-base-uncased-finetuned-cuad
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
cuad
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-cuad
This model is a fine-tuned version of
distilbert-base-uncased
on the cuad dataset. It achieves the following results on the evaluation set:
Loss: 0.2275
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: 40
eval_batch_size: 40
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
No log
1.0
202
0.2135
No log
2.0
404
0.2094
0.3262
3.0
606
0.2275
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
