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ModernBERT-large-anion.train.no.negation.true.irrelevant1e-06-64
mhr2004/ModernBERT-large-anion.train.no.negation.true.irrelevant1e-06-64
ModernBERT-large-anion.train.no.negation.true.irrelevant1e-06-64 is a text classification model from mhr2004. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025
- SHA
- 5e958092
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ModernBERT-large-anion.train.no.negation.true.irrelevant1e-06-64
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3965
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: 1e-06
- train_batch_size: 256
- eval_batch_size: 1024
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6013 | 1.0 | 358 | 0.5308 |
| 0.512 | 2.0 | 716 | 0.4992 |
| 0.4833 | 3.0 | 1074 | 0.4760 |
| 0.4481 | 4.0 | 1432 | 0.4556 |
| 0.4401 | 5.0 | 1790 | 0.4365 |
| 0.4183 | 6.0 | 2148 | 0.4324 |
| 0.4104 | 7.0 | 2506 | 0.4216 |
| 0.3967 | 8.0 | 2864 | 0.4175 |
| 0.3934 | 9.0 | 3222 | 0.4152 |
| 0.3908 | 10.0 | 3580 | 0.4104 |
| 0.3876 | 11.0 | 3938 | 0.4056 |
| 0.378 | 12.0 | 4296 | 0.4108 |
| 0.3764 | 13.0 | 4654 | 0.4022 |
| 0.3754 | 14.0 | 5012 | 0.4010 |
| 0.3585 | 15.0 | 5370 | 0.3980 |
| 0.3565 | 16.0 | 5728 | 0.3993 |
| 0.3584 | 17.0 | 6086 | 0.3977 |
| 0.3572 | 18.0 | 6444 | 0.3976 |
| 0.3415 | 19.0 | 6802 | 0.3996 |
| 0.3416 | 20.0 | 7160 | 0.3955 |
| 0.3433 | 21.0 | 7518 | 0.3984 |
| 0.3349 | 22.0 | 7876 | 0.3951 |
| 0.3306 | 23.0 | 8234 | 0.3935 |
| 0.3363 | 24.0 | 8592 | 0.3976 |
| 0.3302 | 25.0 | 8950 | 0.3961 |
| 0.3181 | 26.0 | 9308 | 0.3965 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025