dzoQA_ml

Norphel/dzoQA_ml

dzoQA_ml is a question answering model from Norphel. 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.

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 5.2318

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: May 12, 2024
Updated: May 15, 2024
SHA: b73ac92a

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Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

dzoQA_ml

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

Loss: 5.2318

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	17	5.5030
No log	2.0	34	5.4155
No log	3.0	51	5.3362
No log	4.0	68	5.3240
No log	5.0	85	5.2659
No log	6.0	102	5.2410
No log	7.0	119	5.2223
No log	8.0	136	5.2406
No log	9.0	153	5.2318

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 12, 2024
Updated: May 15, 2024