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olipol/
smaug_part1_v2

Name: smaug_part1_v2
Availability: InStock

generated_from_trainer

dkleczek/bert-base-polish-cased-v1

finetune

autotrain_compatible

endpoints_compatible

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smaug_part1_v2

This model is a fine-tuned version of dkleczek/bert-base-polish-cased-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000

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: 1e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.0312	1.0	662	0.0291
0.0057	2.0	1324	0.0001
0.0007	3.0	1986	0.1799
0.0007	4.0	2648	0.0000
0.0	5.0	3310	0.0000
0.0	6.0	3972	0.0000
0.0	7.0	4634	0.0000
0.0	8.0	5296	0.0000
0.0	9.0	5958	0.0000
0.0	10.0	6620	0.0000

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.20.3

olipol/smaug_part1_v2

smaug_part1_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

olipol/
smaug_part1_v2