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lease_sk_ner_emph_bsci_23_01 – Dataset by ttnksm | AlphaNeural AI
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lease_sk_ner_emph_bsci_23_01
This model is a fine-tuned version of
gerulata/slovakbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0245
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: 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
0.1349
1.0
596
0.0397
0.033
2.0
1192
0.0279
0.0209
3.0
1788
0.0250
0.0158
4.0
2384
0.0242
0.0122
5.0
2980
0.0245
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
