results

gjyotk/results

results is a machine learning model from gjyotk. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 6, 2024
Updated: Apr 2, 2024
SHA: 42a9de4e

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1086
Rouge1: 0.4487
Rouge2: 0.2809
Rougel: 0.4097
Rougelsum: 0.4110

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: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	67	1.4667	0.3682	0.1743	0.3295	0.3298
No log	2.0	134	1.2361	0.4035	0.2159	0.3666	0.3647
No log	3.0	201	1.1369	0.4482	0.2765	0.3971	0.3966
No log	4.0	268	1.0996	0.4526	0.2926	0.4106	0.4126
No log	5.0	335	1.1086	0.4487	0.2809	0.4097	0.4110

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 6, 2024
Updated: Apr 2, 2024