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: 0.55
- F1: 0.3903
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 |
|---|---|---|---|---|---|
| 0.7051 | 1.0 | 50 | 0.6931 | 0.53 | 0.5281 |
| 0.715 | 2.0 | 100 | 0.6931 | 0.55 | 0.3903 |
| 0.726 | 3.0 | 150 | 0.6931 | 0.55 | 0.3903 |
| 0.6975 | 4.0 | 200 | 0.6931 | 0.55 | 0.3903 |
| 0.7389 | 5.0 | 250 | 0.6931 | 0.6 | 0.5347 |
| 0.7271 | 6.0 | 300 | 0.6931 | 0.55 | 0.3903 |
| 0.7325 | 7.0 | 350 | 0.6931 | 0.55 | 0.3903 |
| 0.706 | 8.0 | 400 | 0.6931 | 0.55 | 0.3903 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for lenatr99/fine_tuned_copa_croslo
Base model
EMBEDDIA/crosloengual-bert