QA_distell0 – AI Model by StaAhmed | AlphaNeural AI

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StaAhmed/
QA_distell0

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question-answering

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StaAhmed/QA_distell

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QA_distell0

This model is a fine-tuned version of StaAhmed/QA_distell on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2221

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	41	0.2368
No log	2.0	82	0.2410
No log	3.0	123	0.2006
No log	4.0	164	0.1666
No log	5.0	205	0.1845
No log	6.0	246	0.1868
No log	7.0	287	0.2041
No log	8.0	328	0.2036
No log	9.0	369	0.2284
No log	10.0	410	0.2175
No log	11.0	451	0.2337
No log	12.0	492	0.2221

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2