rubert-finetuned-ner – AI Model by death-gr1ps | AlphaNeural AI

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death-gr1ps/
rubert-finetuned-ner

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token-classification

generated_from_trainer

DeepPavlov/rubert-base-cased

autotrain_compatible

endpoints_compatible

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rubert-finetuned-ner

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1535
Precision: 0.8883
Recall: 0.9057
F1: 0.8969
Accuracy: 0.9581

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: 0.0001
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1448	0.5	625	0.2235	0.8313	0.8606	0.8457	0.9392
0.1305	1.0	1250	0.1821	0.8235	0.8835	0.8524	0.9462
0.0813	1.5	1875	0.1690	0.8808	0.9005	0.8906	0.9569
0.0497	2.0	2500	0.1535	0.8883	0.9057	0.8969	0.9581

Framework versions

Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2