metadata
license: cc-by-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/crosloengual-bert
metrics:
- accuracy
- f1
model-index:
- name: prompt_fine_tuned_boolq_croslo
results: []
prompt_fine_tuned_boolq_croslo
This model is a fine-tuned version of EMBEDDIA/crosloengual-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6430
- Accuracy: 0.7778
- F1: 0.6806
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 |
|---|---|---|---|---|---|
| 0.6715 | 4.1667 | 50 | 0.6810 | 0.6667 | 0.6222 |
| 0.6634 | 8.3333 | 100 | 0.6644 | 0.7778 | 0.6806 |
| 0.6531 | 12.5 | 150 | 0.6554 | 0.7778 | 0.6806 |
| 0.6609 | 16.6667 | 200 | 0.6495 | 0.7778 | 0.6806 |
| 0.6565 | 20.8333 | 250 | 0.6466 | 0.7778 | 0.6806 |
| 0.6514 | 25.0 | 300 | 0.6448 | 0.7778 | 0.6806 |
| 0.656 | 29.1667 | 350 | 0.6436 | 0.7778 | 0.6806 |
| 0.6584 | 33.3333 | 400 | 0.6430 | 0.7778 | 0.6806 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1