metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert-cogabilities-gemini1k
results: []
modernbert-cogabilities-gemini1k
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1854
- F1: 0.7549
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: 32
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 22 | 0.9252 | 0.45 |
| No log | 2.0 | 44 | 0.7290 | 0.7094 |
| No log | 3.0 | 66 | 0.7616 | 0.6597 |
| No log | 4.0 | 88 | 0.8243 | 0.7604 |
| 0.6005 | 5.0 | 110 | 1.1070 | 0.7315 |
| 0.6005 | 6.0 | 132 | 1.1168 | 0.7603 |
| 0.6005 | 7.0 | 154 | 1.4110 | 0.7292 |
| 0.6005 | 8.0 | 176 | 1.2588 | 0.7513 |
| 0.6005 | 9.0 | 198 | 1.2803 | 0.7758 |
| 0.0109 | 10.0 | 220 | 1.2864 | 0.7680 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0