faq_qa_model – AI Model by Manvitha | AlphaNeural AI | AlphaNeural AI

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Manvitha/
faq_qa_model

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distilbert/distilbert-base-uncased

endpoints_compatible

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faq_qa_model

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.6780

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	6	5.4625
No log	2.0	12	4.6285
No log	3.0	18	3.8305
No log	4.0	24	3.1855
No log	5.0	30	2.8491
No log	6.0	36	2.7356
No log	7.0	42	2.7018
No log	8.0	48	2.6789
No log	9.0	54	2.6806
No log	10.0	60	2.6780

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0