lease_sk_ner_non_emph_bsci
This model is a fine-tuned version of gerulata/slovakbert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0298
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1336 | 0.0279 |
| 0.0464 | 2.0 | 2672 | 0.0233 |
| 0.0099 | 3.0 | 4008 | 0.0251 |
| 0.0099 | 4.0 | 5344 | 0.0248 |
| 0.0059 | 5.0 | 6680 | 0.0270 |
| 0.0042 | 6.0 | 8016 | 0.0298 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for ttnksm/lease_sk_ner_non_emph_bsci
Base model
gerulata/slovakbert