my_awesome_qa_model – AI Model by Shrutina | AlphaNeural AI

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Shrutina/
my_awesome_qa_model

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distilbert/distilbert-base-uncased

endpoints_compatible

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my_awesome_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: 2.0778

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	7	5.0374
No log	2.0	14	3.9770
No log	3.0	21	3.1884
No log	4.0	28	2.6677
No log	5.0	35	2.2774
No log	6.0	42	2.1700
No log	7.0	49	2.0901
No log	8.0	56	2.0500
No log	9.0	63	2.0693
No log	10.0	70	2.0778

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0