ModernBERT-largemhr2004-atomic-anion1e-06-64-stsb-lr2e-05-bs32
This model is a fine-tuned version of mhr2004/ModernBERT-largemhr2004-atomic-anion1e-06-64 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0161
- Pearson: 0.9069
- Spearman: 0.9074
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Pearson | Spearman |
---|---|---|---|---|---|
0.0241 | 1.0 | 180 | 0.0290 | 0.8997 | 0.8993 |
0.0128 | 2.0 | 360 | 0.0206 | 0.9066 | 0.9071 |
0.0064 | 3.0 | 540 | 0.0160 | 0.9070 | 0.9070 |
0.0034 | 4.0 | 720 | 0.0161 | 0.9069 | 0.9074 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for mhr2004/ModernBERT-largemhr2004-atomic-anion1e-06-64-stsb-lr2e-05-bs32
Base model
answerdotai/ModernBERT-large