LSimmons
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FragZONFactMetaRecommendation

Text Classification

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FragZONFactMetaRecommendation

This model is a fine-tuned version of deepset/gbert-large on the beta dataset. It achieves the following results on the evaluation set:

Loss: 0.4128
Accuracy: 0.9205

Model description

Fine-tuned gbert on queries

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: 5e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.171	1.0	76	0.4003	0.9139
0.1154	2.0	152	0.4128	0.9205

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

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Base model

deepset/gbert-large

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Evaluation results

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