distilbert-base-uncased-finetuned-cuad_smaller_2

yogesh0502/distilbert-base-uncased-finetuned-cuad_smaller_2

distilbert-base-uncased-finetuned-cuad_smaller_2 is a question answering model from yogesh0502. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: May 17, 2023
Updated: May 17, 2023
SHA: b969bc41

Try a prompt

Datasets

cuad_v1

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-cuad_smaller_2

This model is a fine-tuned version of distilbert-base-uncased on the cuad_v1 dataset. It achieves the following results on the evaluation set:

Loss: 0.0929

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: 0.0001
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	100	0.0827
No log	2.0	200	0.0897
No log	3.0	300	0.0862
No log	4.0	400	0.0929

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 17, 2023
Updated: May 17, 2023