t5-ft-billsum

vinaykudari/t5-ft-billsum

t5-ft-billsum is a machine learning model from vinaykudari. 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: Mar 18, 2022
Updated: Mar 18, 2022
SHA: 68a256d2

Datasets

billsum

Model card

From the Hugging Face model README

t5-ft-billsum

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

Loss: 2.2752

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	99	2.6250
No log	2.0	198	2.4587
No log	3.0	297	2.3865
No log	4.0	396	2.3431
No log	5.0	495	2.3226
2.7775	6.0	594	2.3019
2.7775	7.0	693	2.2882
2.7775	8.0	792	2.2802
2.7775	9.0	891	2.2764
2.7775	10.0	990	2.2752

Framework versions

Transformers 4.17.0
Pytorch 1.6.0
Datasets 2.0.0
Tokenizers 0.11.6

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 18, 2022
Updated: Mar 18, 2022