results_t5small_first25 – AI Model by AbdullahKnn | AlphaNeural AI

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AbdullahKnn/
results_t5small_first25

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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results_t5small_first25

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

Loss: 2.5455
Rouge1: 0.1758
Rouge2: 0.0585
Rougel: 0.1389
Rougelsum: 0.1388
Gen Len: 20.0

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: 0.0005
train_batch_size: 16
eval_batch_size: 16
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
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9172	0.32	1000	2.7575	0.1643	0.051	0.1293	0.1293	20.0
2.7163	0.64	2000	2.6575	0.1738	0.0568	0.1377	0.1376	20.0
2.8039	0.96	3000	2.6067	0.1722	0.0576	0.137	0.1369	20.0
2.6519	1.28	4000	2.5771	0.1758	0.0589	0.1384	0.1382	20.0
2.6342	1.6	5000	2.5627	0.1771	0.0603	0.1401	0.1401	20.0
2.5756	1.92	6000	2.5455	0.1758	0.0585	0.1389	0.1388	20.0

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0