t5-small-finetuned-manimml-1.1 – AI Model by AnHoangbg | AlphaNeural AI

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AnHoangbg/
t5-small-finetuned-manimml-1.1

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-manimml-1.1

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

Loss: 0.0274
Rouge1: 26.8452
Rouge2: 21.6377
Rougel: 26.8477
Rougelsum: 26.839
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.8108	1.0	700	0.0490	26.7634	21.5313	26.7586	26.754	19.0
0.1279	2.0	1400	0.0309	26.8037	21.5955	26.8048	26.7959	19.0
0.0757	3.0	2100	0.0274	26.8452	21.6377	26.8477	26.839	19.0

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1