flan-t5-base – AI Model by Vaibhav1805 | AlphaNeural AI

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Vaibhav1805/
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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 42.7348

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: 1e-05
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: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	7	44.1361
41.0121	2.0	14	43.9130
42.6422	3.0	21	43.7056
42.6422	4.0	28	43.5129
40.7787	5.0	35	43.3351
41.3185	6.0	42	43.1794
41.3185	7.0	49	43.0493
40.6179	8.0	56	42.9387
40.0464	9.0	63	42.8502
41.108	10.0	70	42.7871
41.108	11.0	77	42.7488
41.1637	12.0	84	42.7348

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Tokenizers 0.21.0