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

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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: 0.4660

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	7	0.6745
1.1425	2.0	14	0.5862
0.9148	3.0	21	0.5746
0.9148	4.0	28	0.5226
0.7936	5.0	35	0.5105
0.6663	6.0	42	0.4972
0.6663	7.0	49	0.4861
0.6266	8.0	56	0.4757
0.626	9.0	63	0.4673
0.5819	10.0	70	0.4660

Framework versions

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