reddit-ner-place_names-finetuned – AI Model by alban12 | AlphaNeural AI

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alban12/
reddit-ner-place_names-finetuned

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token-classification

generated_from_trainer

cjber/reddit-ner-place_names

autotrain_compatible

endpoints_compatible

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reddit-ner-place_names-finetuned

This model is a fine-tuned version of cjber/reddit-ner-place_names on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0301
Precision: 0.8010
Recall: 0.8406
F1: 0.8203
Accuracy: 0.9929
Wer: 0.0071

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	Wer
0.024	1.0	1535	0.0214	0.7826	0.8414	0.8109	0.9924	0.0075
0.0173	2.0	3070	0.0203	0.7865	0.8526	0.8182	0.9928	0.0072
0.0109	3.0	4605	0.0234	0.8166	0.8351	0.8257	0.9930	0.0070
0.0078	4.0	6140	0.0264	0.8179	0.8259	0.8219	0.9930	0.0070
0.005	5.0	7675	0.0301	0.8010	0.8406	0.8203	0.9929	0.0071

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1