my_entertainment_model

hli623/my_entertainment_model

my_entertainment_model is a machine learning model from hli623. 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: Apr 12, 2023
Updated: Apr 12, 2023
SHA: 7404ee35

Model card

From the Hugging Face model README

my_entertainment_model

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.6595
Rouge1: 0.0747
Rouge2: 0.0041
Rougel: 0.0608
Rougelsum: 0.0605
Gen Len: 19.0

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	20	5.3975	0.0715	0.0037	0.0578	0.0577	19.0
No log	2.0	40	4.8739	0.0742	0.0037	0.0611	0.0609	19.0
No log	3.0	60	4.7067	0.0736	0.0041	0.0607	0.0605	19.0
No log	4.0	80	4.6595	0.0747	0.0041	0.0608	0.0605	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 12, 2023
Updated: Apr 12, 2023