modernbert_pretrained
This model is a fine-tuned version of Kaspar/ecco_modernbert_pretrained on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1759
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2951 | 1.0 | 41122 | 1.2753 |
| 1.2166 | 2.0 | 82244 | 1.2104 |
| 1.1495 | 3.0 | 123366 | 1.1753 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for Kaspar/modernbert_pretrained
Base model
answerdotai/ModernBERT-base Finetuned
Kaspar/ecco_modernbert_pretrained