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distilbert-cuad-qa – AI Model by flurryhead | AlphaNeural AI
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distilbert-cuad-qa
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transformers
safetensors
distilbert
question-answering
generated_from_trainer
cuad-qa
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-cuad-qa
This model is a fine-tuned version of
distilbert-base-uncased
on the cuad-qa dataset. It achieves the following results on the evaluation set:
Loss: 0.1787
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3746
1.0
2807
0.1889
0.2983
2.0
5614
0.1815
0.2523
3.0
8421
0.1787
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
