modernbert-match-user-52164
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: 1.5489
- Accuracy: 0.6304
- F1: 0.5641
- Precision: 0.5521
- Recall: 0.6304
- F1 Class 0: 0.3226
- F1 Class 1: 0.1905
- F1 Class 2: 0.0
- F1 Class 3: 0.2778
- F1 Class 4: 0.7879
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 184
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | F1 Class 0 | F1 Class 1 | F1 Class 2 | F1 Class 3 | F1 Class 4 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1.1594 | 1.0 | 184 | 1.2153 | 0.6087 | 0.4606 | 0.3705 | 0.6087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7568 |
1.1026 | 2.0 | 368 | 1.3772 | 0.6196 | 0.5074 | 0.4619 | 0.6196 | 0.1714 | 0.0 | 0.0 | 0.0909 | 0.7829 |
0.9719 | 3.0 | 552 | 1.2712 | 0.6304 | 0.5229 | 0.4938 | 0.6304 | 0.2941 | 0.1176 | 0.0 | 0.0 | 0.7829 |
0.839 | 4.0 | 736 | 1.5489 | 0.6304 | 0.5641 | 0.5521 | 0.6304 | 0.3226 | 0.1905 | 0.0 | 0.2778 | 0.7879 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 2.21.0
- Tokenizers 0.21.0
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Model tree for matiashoyl/modernbert-match-user-52164
Base model
answerdotai/ModernBERT-base