MeetingBank-QA-Summary

zu4425/MeetingBank-QA-Summary

MeetingBank-QA-Summary is a machine learning model from zu4425. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Sep 25, 2024
Updated: Sep 25, 2024
SHA: 6029f958

Base models

Model card

From the Hugging Face model README

MeetingBank-QA-Summary

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.6280
Rouge1: 0.1496
Rouge2: 0.0678
Rougel: 0.1144
Rougelsum: 0.1126
Generated Length: 18.6667

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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	2	4.6895	0.1496	0.0678	0.1144	0.1126	18.6667
No log	2.0	4	4.6582	0.1496	0.0678	0.1144	0.1126	18.6667
No log	3.0	6	4.6280	0.1496	0.0678	0.1144	0.1126	18.6667

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 25, 2024
Updated: Sep 25, 2024