test_headline_qa – AI Model by chriskim2273 | AlphaNeural AI

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test_headline_qa

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test_headline_qa

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.9920

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: 3
eval_batch_size: 3
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	2	5.7992
No log	2.0	4	5.7051
No log	3.0	6	5.6068
No log	4.0	8	5.5043
No log	5.0	10	5.3968
No log	6.0	12	5.2848
No log	7.0	14	5.1784
No log	8.0	16	5.0876
No log	9.0	18	5.0222
No log	10.0	20	4.9920

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3