metadata
library_name: transformers
base_model: dkleczek/bert-base-polish-cased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: dkleczek_bert_PL
results: []
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