T5_small_fine_tuned – AI Model by clee9 | AlphaNeural AI

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clee9/
T5_small_fine_tuned

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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T5_small_fine_tuned

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: 2.6491
Rougel Fmeasure: 0.1247
Bertscore F1: -0.0215
Combined Score: 0.0516

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rougel Fmeasure	Bertscore F1	Combined Score
1.9205	1.0	2369	2.6825	0.113	-0.0448	0.0341
1.8233	2.0	4738	2.6561	0.1227	-0.0249	0.0489
1.7693	3.0	7107	2.6505	0.1246	-0.0215	0.0515
1.7611	4.0	9476	2.6491	0.1247	-0.0215	0.0516

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3