results – AI Model by ngchuchi | AlphaNeural AI

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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results

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

Loss: 1.7945
Rouge1: 0.2486
Rouge2: 0.1045
Rougel: 0.1978
Rougelsum: 0.1977

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.0703	1.0	100	1.8531	0.2452	0.1062	0.1958	0.196
1.9845	2.0	200	1.8078	0.246	0.1054	0.1965	0.1962
1.9907	3.0	300	1.7967	0.2467	0.1037	0.1963	0.196
2.0026	4.0	400	1.7945	0.2486	0.1045	0.1978	0.1977

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0