results – AI Model by nymouz | AlphaNeural AI

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nymouz/
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text2text-generation

generated_from_trainer

google/flan-t5-small

text-generation-inference

endpoints_compatible

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results

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

Loss: nan
Rouge1: 0.1908
Rouge2: 0.0573
Rougel: 0.1535

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 OptimizerNames.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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
No log	1.0	300	nan	0.1908	0.0573	0.1535
0.0	2.0	600	nan	0.1908	0.0573	0.1535
0.0	3.0	900	nan	0.1908	0.0573	0.1535
0.0	4.0	1200	nan	0.1908	0.0573	0.1535
0.0	5.0	1500	nan	0.1908	0.0573	0.1535

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1