NEW_trained_slovak – AI Model by annamariagnat | AlphaNeural AI

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annamariagnat/
NEW_trained_slovak

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token-classification

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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NEW_trained_slovak

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1299
Precision: 0.6938
Recall: 0.7634
F1: 0.7269
Accuracy: 0.9709

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0808	1.0	530	0.1178	0.6792	0.75	0.7128	0.9686
0.0249	2.0	1061	0.1144	0.6708	0.7654	0.7150	0.9687
0.0122	3.0	1591	0.1206	0.6905	0.7741	0.7299	0.9708
0.0058	4.0	2120	0.1299	0.6938	0.7634	0.7269	0.9709

Framework versions

Transformers 4.38.2
Pytorch 2.1.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2