modernbert-output-model
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3891
- F1: 0.0003
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: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.3211 | 1.0 | 626 | 4.3891 | 0.0003 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for SunitOutreach/modernbert-output-model
Base model
answerdotai/ModernBERT-base