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crabz/
distil-slovakbert-upos

Name: distil-slovakbert-upos
Availability: InStock

generated_from_trainer

universal_dependencies

model-index

autotrain_compatible

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distil-slovakbert-upos

This model is a fine-tuned version of crabz/distil-slovakbert on the universal_dependencies sk_snk dataset. It achieves the following results on the evaluation set:

Loss: 0.1207
Precision: 0.9771
Recall: 0.9785
F1: 0.9778
Accuracy: 0.9801

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	266	0.2168	0.9570	0.9554	0.9562	0.9610
0.3935	2.0	532	0.1416	0.9723	0.9736	0.9730	0.9740
0.3935	3.0	798	0.1236	0.9722	0.9735	0.9728	0.9747
0.0664	4.0	1064	0.1195	0.9722	0.9741	0.9732	0.9766
0.0664	5.0	1330	0.1160	0.9764	0.9772	0.9768	0.9789
0.0377	6.0	1596	0.1194	0.9763	0.9776	0.9770	0.9790
0.0377	7.0	1862	0.1188	0.9740	0.9755	0.9748	0.9777
0.024	8.0	2128	0.1188	0.9762	0.9777	0.9769	0.9793
0.024	9.0	2394	0.1207	0.9774	0.9789	0.9781	0.9802
0.0184	10.0	2660	0.1207	0.9771	0.9785	0.9778	0.9801

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.0
Datasets 1.16.1
Tokenizers 0.11.0

crabz/distil-slovakbert-upos

distil-slovakbert-upos

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

crabz/
distil-slovakbert-upos