greek_legal_bert_v2-finetuned-ner-V3-ONNX – AI Model by onnx-community | AlphaNeural AI

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onnx-community/
greek_legal_bert_v2-finetuned-ner-V3-ONNX

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transformers.js

token-classification

generated_from_trainer

amichailidis/greek_legal_bert_v2-finetuned-ner-V3

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greek_legal_bert_v2-finetuned-ner-V3 (ONNX)

This is an ONNX version of amichailidis/greek_legal_bert_v2-finetuned-ner-V3. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for token-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TokenClassificationPipeline

greek_legal_bert_v2-finetuned-ner-V4

This model is a fine-tuned version of amichailidis/greek_legal_bert_v2-finetuned-ner on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0659
Precision: 0.9033
Recall: 0.9373
F1: 0.9200
Accuracy: 0.9845

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.19	25	0.1246	0.8264	0.8190	0.8227	0.9680
No log	2.38	50	0.0729	0.8716	0.9247	0.8974	0.9809
No log	3.57	75	0.0553	0.8978	0.9444	0.9205	0.9851
No log	4.76	100	0.0591	0.8990	0.9409	0.9194	0.9852
No log	5.95	125	0.0598	0.9017	0.9373	0.9192	0.9849
No log	7.14	150	0.0628	0.9064	0.9373	0.9216	0.9842
No log	8.33	175	0.0636	0.9031	0.9355	0.9190	0.9843
No log	9.52	200	0.0659	0.9033	0.9373	0.9200	0.9845

Framework versions

Transformers 4.23.0
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1