sumups-batch3-model – AI Model by sumups-ai | AlphaNeural AI

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sumups-ai/
sumups-batch3-model

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sumups-batch3-model

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

Loss: 1.2370
Precision: 0.0282
Recall: 0.1030
F1: 0.0442
Accuracy: 0.5356

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	20	1.3966	0.0062	0.0257	0.0100	0.4634
No log	2.0	40	1.3064	0.0170	0.0495	0.0253	0.4869
No log	3.0	60	1.2607	0.0213	0.0752	0.0332	0.5157
No log	4.0	80	1.2307	0.0242	0.0871	0.0379	0.5352
No log	5.0	100	1.2370	0.0282	0.1030	0.0442	0.5356

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2