metadata
license: cc-by-sa-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/sloberta
metrics:
- accuracy
- f1
model-index:
- name: prompt_fine_tuned_CB_sloberta
results: []
prompt_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: 1.7179
- Accuracy: 0.3182
- F1: 0.1591
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: 0.003
- 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 |
|---|---|---|---|---|---|
| 0.8289 | 3.5714 | 50 | 1.9695 | 0.3182 | 0.1536 |
| 0.7265 | 7.1429 | 100 | 1.4997 | 0.3636 | 0.2273 |
| 0.6323 | 10.7143 | 150 | 1.4937 | 0.3636 | 0.2891 |
| 0.5933 | 14.2857 | 200 | 1.7106 | 0.2727 | 0.2290 |
| 0.5496 | 17.8571 | 250 | 1.3607 | 0.3636 | 0.2821 |
| 0.4356 | 21.4286 | 300 | 1.4913 | 0.3182 | 0.1536 |
| 0.3874 | 25.0 | 350 | 1.6290 | 0.2727 | 0.1527 |
| 0.3719 | 28.5714 | 400 | 1.7179 | 0.3182 | 0.1591 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1