t5-small-finetuned-2024-03-13

liamvbetts/t5-small-finetuned-2024-03-13

t5-small-finetuned-2024-03-13 is a machine learning model from liamvbetts. 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.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Apr 14, 2024
Updated: Apr 14, 2024
SHA: 94fcc656

Base models

liamvbetts/t5-small-finetuned-2024-03-12

Model card

From the Hugging Face model README

t5-small-finetuned-2024-03-13

This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-12 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8462
Rouge1: 30.3334
Rouge2: 17.8246
Rougel: 26.5826
Rougelsum: 27.0835
Gen Len: 18.619

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: 4e-05
train_batch_size: 1
eval_batch_size: 1
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
1.6474	1.0	332	1.8462	30.3334	17.8246	26.5826	27.0835	18.619

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
Created: Apr 14, 2024
Updated: Apr 14, 2024