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mahsharyahan/
dkleczek_bert_PL

Name: dkleczek_bert_PL
Availability: InStock

generated_from_trainer

dkleczek/bert-base-polish-cased-v1

finetune

autotrain_compatible

endpoints_compatible

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dkleczek_bert_PL

This model is a fine-tuned version of dkleczek/bert-base-polish-cased-v1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3097
Accuracy: 0.9429
F1: 0.9643
Precision: 0.9310
Recall: 1.0

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: 8
eval_batch_size: 8
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: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	35	0.1697	0.9429	0.9643	0.9310	1.0
No log	2.0	70	0.2776	0.9429	0.9643	0.9310	1.0
No log	3.0	105	0.2236	0.9429	0.9643	0.9310	1.0
No log	4.0	140	0.2532	0.9143	0.9455	0.9286	0.9630
No log	5.0	175	0.3097	0.9429	0.9643	0.9310	1.0

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

mahsharyahan/dkleczek_bert_PL

dkleczek_bert_PL

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mahsharyahan/
dkleczek_bert_PL