finetuned-new

javadaslanov/finetuned-new

finetuned-new is a machine learning model from javadaslanov. 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: Aug 5, 2023
Updated: Aug 5, 2023
SHA: 73dc84b6

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

finetuned-new

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

Loss: 1.6670
Rouge1: 23.8339
Rouge2: 9.629
Rougel: 20.6248
Rougelsum: 21.936
Gen Len: 18.9886

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	50	1.8104	24.234	13.0619	21.6635	22.7407	17.8295
No log	2.0	100	1.7152	23.8385	10.4031	20.7556	21.8852	18.9545
No log	3.0	150	1.6795	23.6911	9.6556	20.5848	21.8707	18.9886
No log	4.0	200	1.6670	23.8339	9.629	20.6248	21.936	18.9886

Framework versions

Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.3
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 5, 2023
Updated: Aug 5, 2023