google-flan-t5-small-modified_v2 – AI Model by prudhvirazz | AlphaNeural AI

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google-flan-t5-small-modified_v2

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google/flan-t5-small

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endpoints_compatible

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google-flan-t5-small-modified_v2

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

Loss: 1.3020

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	250	3.7751
4.3074	2.0	500	2.1221
4.3074	3.0	750	1.7130
2.5366	4.0	1000	1.5271
2.5366	5.0	1250	1.4301
2.0483	6.0	1500	1.3643
2.0483	7.0	1750	1.3389
1.8774	8.0	2000	1.3123
1.8774	9.0	2250	1.3067
1.7724	10.0	2500	1.3020

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3