bert-base-uncased-airlines – AI Model by tasosk | AlphaNeural AI

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tasosk/
bert-base-uncased-airlines

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-uncased-airlines

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3458
Accuracy: 0.9021
F1: 0.9022

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-06
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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	405	0.3230	0.8754	0.8750
0.4658	2.0	810	0.2738	0.8986	0.8985
0.2473	3.0	1215	0.2944	0.9110	0.9111
0.2498	4.0	1620	0.3322	0.8950	0.8949
0.2174	5.0	2025	0.3342	0.9021	0.9021
0.2174	6.0	2430	0.3526	0.8986	0.8985
0.2055	7.0	2835	0.3458	0.9021	0.9022

Framework versions

Transformers 4.14.1
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3