my_entertainment_model – AI Model by hli623 | AlphaNeural AI

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hli623/
my_entertainment_model

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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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