20231128_ClinBigBird_10ep_NewLabels_Classn_78_A – AI Model by zibajoon | AlphaNeural AI

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zibajoon/
20231128_ClinBigBird_10ep_NewLabels_Classn_78_A

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text-classification

generated_from_trainer

yikuan8/Clinical-BigBird

autotrain_compatible

endpoints_compatible

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20231128_ClinBigBird_10ep_NewLabels

This model is a fine-tuned version of yikuan8/Clinical-BigBird on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1090
Accuracy: 0.78

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: 3e-05
train_batch_size: 12
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	101	2.0986	0.36
No log	2.0	202	1.3181	0.64
No log	3.0	303	1.0754	0.76
No log	4.0	404	1.0497	0.74
1.1293	5.0	505	1.0520	0.76
1.1293	6.0	606	1.0080	0.78
1.1293	7.0	707	1.0404	0.77
1.1293	8.0	808	1.1186	0.76
1.1293	9.0	909	1.1090	0.78

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu118
Datasets 2.10.1
Tokenizers 0.14.1