metadata
license: cc-by-sa-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/sloberta
metrics:
- accuracy
- f1
model-index:
- name: lora_fine_tuned_cb_sloberta
results: []
lora_fine_tuned_cb_sloberta
This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4606
- Accuracy: 0.3182
- F1: 0.1536
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 |
|---|---|---|---|---|---|
| 0.932 | 3.5714 | 50 | 1.2096 | 0.3182 | 0.1536 |
| 0.745 | 7.1429 | 100 | 1.3888 | 0.3182 | 0.1536 |
| 0.743 | 10.7143 | 150 | 1.4293 | 0.3182 | 0.1536 |
| 0.6881 | 14.2857 | 200 | 1.4559 | 0.3182 | 0.1536 |
| 0.7204 | 17.8571 | 250 | 1.4635 | 0.3182 | 0.1536 |
| 0.7244 | 21.4286 | 300 | 1.4588 | 0.3182 | 0.1536 |
| 0.6949 | 25.0 | 350 | 1.4588 | 0.3182 | 0.1536 |
| 0.7195 | 28.5714 | 400 | 1.4606 | 0.3182 | 0.1536 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1