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mariossmrs/
greek-bert-fire-detection-binary-classification

Name: greek-bert-fire-detection-binary-classification
Availability: InStock

generated_from_trainer

nlpaueb/bert-base-greek-uncased-v1

finetune

text-embeddings-inference

endpoints_compatible

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greek-bert-fire-detection-binary-classification

This model is a fine-tuned version of nlpaueb/bert-base-greek-uncased-v1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2335
Precision: 0.8297
Recall: 0.9152
F1: 0.8703
F2: 0.8967

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: 5e-06
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	F2
0.5077	1.0	144	0.3199	0.7540	0.8545	0.8011	0.8323
0.2523	2.0	288	0.2536	0.8156	0.8848	0.8488	0.8701
0.2027	3.0	432	0.2272	0.8795	0.8848	0.8822	0.8838
0.1608	4.0	576	0.2335	0.8297	0.9152	0.8703	0.8967

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

mariossmrs/greek-bert-fire-detection-binary-classification

greek-bert-fire-detection-binary-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mariossmrs/
greek-bert-fire-detection-binary-classification