fine_tuned_t5_small_model – AI Model by ariW | AlphaNeural AI

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fine_tuned_t5_small_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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fine_tuned_t5_small_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: 2.9759
Rouge1: 0.1681
Rouge2: 0.0531
Rougel: 0.1379
Rougelsum: 0.1378
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: 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	144	3.0688	0.1625	0.0515	0.1333	0.1333	18.9476
No log	2.0	288	3.0013	0.1707	0.0554	0.1408	0.1411	18.9476
No log	3.0	432	2.9747	0.1683	0.0532	0.1378	0.1378	19.0
3.3619	4.0	576	2.9759	0.1681	0.0531	0.1379	0.1378	19.0

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3