slot_token_classification_model – AI Model by vladeachka | AlphaNeural AI

You can deploy this model and start earning money today!

vladeachka/
slot_token_classification_model

like

0

token-classification

generated_from_trainer

cointegrated/rubert-tiny2

autotrain_compatible

endpoints_compatible

Views

No views yet

slot_token_classification_model

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4739
Precision: 0.6455
Recall: 0.7092
F1: 0.6758
Accuracy: 0.8977

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.408	1.0	720	0.4998	0.6226	0.6688	0.6449	0.8909
0.3758	2.0	1440	0.4815	0.6349	0.6868	0.6598	0.8953
0.3383	3.0	2160	0.4746	0.6405	0.7002	0.6690	0.8958
0.3278	4.0	2880	0.4733	0.6577	0.7032	0.6797	0.8977
0.3053	5.0	3600	0.4739	0.6455	0.7092	0.6758	0.8977

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0