lr_1e5_Distil-CNN256LSTM128NoBi

tyavika/lr_1e5_Distil-CNN256LSTM128NoBi

lr_1e5_Distil-CNN256LSTM128NoBi is a question answering model from tyavika. 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: Jul 7, 2023
Updated: Jul 9, 2023
SHA: c88e82f6

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Model card

From the Hugging Face model README

lr_1e5_Distil-CNN256LSTM128NoBi

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5121

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.0386	1.0	3290	1.8344
1.3189	2.0	6580	1.3399
0.8649	3.0	9870	1.2492
0.6271	4.0	13160	1.2992
0.4302	5.0	16450	1.5121

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 7, 2023
Updated: Jul 9, 2023