robbert-cosmetic-finetuned
This model is a fine-tuned version of DTAI-KULeuven/robbert-2022-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0319
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.3373 | 1.0 | 569 | 1.1228 |
1.1452 | 2.0 | 1138 | 1.0415 |
1.0976 | 3.0 | 1707 | 1.0224 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ymelka/robbert-cosmetic-finetuned
Base model
DTAI-KULeuven/robbert-2022-dutch-base