t5-ie-budquo-finetuned

RamsesDIIP/t5-ie-budquo-finetuned

t5-ie-budquo-finetuned is a machine learning model from RamsesDIIP. 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: mt5
Access: Public
Created: Oct 8, 2024
Updated: Oct 9, 2024
SHA: 174a7212

Base models

google/mt5-base

Model card

From the Hugging Face model README

t5-ie-budquo-finetuned

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0376
Rouge1: 0.1256
Rouge2: 0.1059
Rougel: 0.1253
Rougelsum: 0.1250

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: 0.0003
train_batch_size: 4
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.1216	0.9995	551	0.0391	0.1297	0.1077	0.1294	0.1297
0.0418	1.9991	1102	0.0176	0.1310	0.1114	0.1310	0.1312
0.0277	2.9986	1653	0.0141	0.1311	0.1117	0.1314	0.1313

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: transformers
Type: mt5
License: apache-2.0
Created: Oct 8, 2024
Updated: Oct 9, 2024