thesis-led-finetuned

roofdancer/thesis-led-finetuned

thesis-led-finetuned is a machine learning model from roofdancer. 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: led
Access: Public
Created: May 5, 2024
Updated: May 18, 2024
SHA: a908ef1d

Base models

allenai/led-base-16384

Model card

From the Hugging Face model README

thesis-led-finetuned

This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1628
Rouge1: 42.239
Rouge2: 14.7162
Rougel: 22.9523
Rougelsum: 38.2971
Gen Len: 219.9278

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2358	1.0	7870	2.1628	42.239	14.7162	22.9523	38.2971	219.9278

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: led
License: apache-2.0
Created: May 5, 2024
Updated: May 18, 2024