mdeberta-v3-base-finetuned-pos – AI Model by Emanuel | AlphaNeural AI

You can deploy this model and start earning money today!

Emanuel/
mdeberta-v3-base-finetuned-pos

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

mdeberta-v3-base-finetuned-pos

This model is a fine-tuned version of microsoft/mdeberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0887
Acc: 0.9814
F1: 0.8861

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	Acc	F1
No log	1.0	439	0.0965	0.9749	0.8471
0.3317	2.0	878	0.0815	0.9783	0.8702
0.0775	3.0	1317	0.0780	0.9812	0.8825
0.0568	4.0	1756	0.0769	0.9809	0.8827
0.0444	5.0	2195	0.0799	0.9811	0.8885
0.0339	6.0	2634	0.0834	0.9813	0.8821
0.0278	7.0	3073	0.0845	0.9817	0.8843
0.0222	8.0	3512	0.0866	0.9814	0.8863
0.0222	9.0	3951	0.0885	0.9814	0.8862
0.0188	10.0	4390	0.0887	0.9814	0.8861

Framework versions

Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1