t5-small-finetuned-2024-04-04

liamvbetts/t5-small-finetuned-2024-04-04

t5-small-finetuned-2024-04-04 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 15, 2024
Updated: Apr 15, 2024
SHA: 1e8849bf

Base models

liamvbetts/t5-small-finetuned-2024-04-02

Model card

From the Hugging Face model README

t5-small-finetuned-2024-04-04

This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-04-02 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6361
Rouge1: 36.5787
Rouge2: 23.7589
Rougel: 33.013
Rougelsum: 33.4725
Gen Len: 18.9195

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
1.6423	1.0	346	1.6361	36.5787	23.7589	33.013	33.4725	18.9195

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 15, 2024
Updated: Apr 15, 2024