fine_tuned_cb_sloroberta
This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0242
- Accuracy: 0.6818
- F1: 0.6317
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.7427 | 3.5714 | 50 | 1.4714 | 0.3182 | 0.1536 |
0.5036 | 7.1429 | 100 | 0.8326 | 0.6818 | 0.6352 |
0.229 | 10.7143 | 150 | 1.0356 | 0.6364 | 0.5893 |
0.0871 | 14.2857 | 200 | 0.6893 | 0.6818 | 0.6680 |
0.0344 | 17.8571 | 250 | 0.9159 | 0.7727 | 0.7671 |
0.0211 | 21.4286 | 300 | 1.0231 | 0.6818 | 0.6352 |
0.0169 | 25.0 | 350 | 1.0289 | 0.6364 | 0.5893 |
0.0159 | 28.5714 | 400 | 1.0242 | 0.6818 | 0.6317 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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