metadata
license: cc-by-4.0
base_model: EMBEDDIA/crosloengual-bert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine_tuned_copa_croslo
results: []
fine_tuned_copa_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: 0.6931
- Accuracy: 0.51
- F1: 0.4857
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 |
|---|---|---|---|---|---|
| 0.7257 | 1.0 | 50 | 0.6931 | 0.49 | 0.4838 |
| 0.7001 | 2.0 | 100 | 0.6931 | 0.48 | 0.48 |
| 0.7196 | 3.0 | 150 | 0.6931 | 0.52 | 0.4603 |
| 0.6895 | 4.0 | 200 | 0.6931 | 0.5 | 0.4926 |
| 0.745 | 5.0 | 250 | 0.6931 | 0.46 | 0.4244 |
| 0.7102 | 6.0 | 300 | 0.6931 | 0.5 | 0.4861 |
| 0.7245 | 7.0 | 350 | 0.6931 | 0.55 | 0.5391 |
| 0.7283 | 8.0 | 400 | 0.6931 | 0.51 | 0.4857 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1