distilbert-base-uncased-gradient-clinic

charlieoneill/distilbert-base-uncased-gradient-clinic

distilbert-base-uncased-gradient-clinic is a question answering model from charlieoneill. 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 9, 2022
Updated: Jul 10, 2022
SHA: 0697c8d2

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Model card

From the Hugging Face model README

distilbert-base-uncased-gradient-clinic

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

Loss: 0.2601

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: 36
eval_batch_size: 36
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	24	0.8576
No log	2.0	48	0.3439
No log	3.0	72	0.2807
No log	4.0	96	0.2653
No log	5.0	120	0.2601

Framework versions

Transformers 4.20.1
Pytorch 1.10.2
Datasets 2.1.0
Tokenizers 0.12.1

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 9, 2022
Updated: Jul 10, 2022