ddd314bfb7b8f41aee216bed7b21bee2
This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll02-dutch on the contemmcm/cls_mmlu dataset. It achieves the following results on the evaluation set:
- Loss: 1.3898
- Data Size: 0.25
- Epoch Runtime: 24.4660
- Accuracy: 0.2487
- F1 Macro: 0.0996
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
|---|---|---|---|---|---|---|---|
| No log | 0 | 0 | 1.4378 | 0 | 3.2351 | 0.2513 | 0.1312 |
| No log | 1 | 438 | 1.4304 | 0.0078 | 3.8023 | 0.2527 | 0.1008 |
| No log | 2 | 876 | 1.3882 | 0.0156 | 4.6046 | 0.2460 | 0.0999 |
| No log | 3 | 1314 | 1.3912 | 0.0312 | 6.6180 | 0.2533 | 0.1011 |
| No log | 4 | 1752 | 1.3940 | 0.0625 | 10.0974 | 0.2487 | 0.0996 |
| 0.0785 | 5 | 2190 | 1.3944 | 0.125 | 15.1189 | 0.2527 | 0.1008 |
| 0.1856 | 6 | 2628 | 1.3898 | 0.25 | 24.4660 | 0.2487 | 0.0996 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1
- Downloads last month
- -