results_t5base – AI Model by AbdullahKnn | AlphaNeural AI

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AbdullahKnn/
results_t5base

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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results_t5base

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

Loss: 2.2853
Rouge1: 0.1769
Rouge2: 0.0613
Rougel: 0.1403
Rougelsum: 0.1403
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: 0.0001
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
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.45	0.24	3000	2.4080	0.171	0.0573	0.1357	0.1357	19.0
2.5438	0.48	6000	2.3472	0.1756	0.0597	0.1389	0.1389	19.0
2.3614	0.72	9000	2.3018	0.1773	0.0615	0.1407	0.1407	19.0
2.3553	0.96	12000	2.2853	0.1769	0.0613	0.1403	0.1403	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1