flan-t5-base – AI Model by Saharshdeshini | AlphaNeural AI

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Saharshdeshini/
flan-t5-base

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google/flan-t5-base

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flan-t5-base

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

Loss: 16.1303

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: 0.001
train_batch_size: 4
eval_batch_size: 4
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: 9

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	39.6184
No log	2.0	6	29.3132
No log	3.0	9	24.3977
33.048	4.0	12	21.8596
33.048	5.0	15	20.0393
33.048	6.0	18	18.5343
21.4332	7.0	21	17.3204
21.4332	8.0	24	16.4903
21.4332	9.0	27	16.1303

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0