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roberta-base-atomic-anion-1e-06-256
mhr2004/roberta-base-atomic-anion-1e-06-256
roberta-base-atomic-anion-1e-06-256 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Mar 17, 2025
- Updated
- Mar 17, 2025
- SHA
- a3278e25
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Base models
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. -->
roberta-base-atomic-anion-1e-06-256
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3782
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: 256
- 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: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5668 | 1.0 | 1152 | 0.5247 |
| 0.5001 | 2.0 | 2304 | 0.4849 |
| 0.4711 | 3.0 | 3456 | 0.4622 |
| 0.4543 | 4.0 | 4608 | 0.4461 |
| 0.4415 | 5.0 | 5760 | 0.4351 |
| 0.4256 | 6.0 | 6912 | 0.4262 |
| 0.4139 | 7.0 | 8064 | 0.4184 |
| 0.4082 | 8.0 | 9216 | 0.4153 |
| 0.3978 | 9.0 | 10368 | 0.4096 |
| 0.391 | 10.0 | 11520 | 0.4041 |
| 0.3809 | 11.0 | 12672 | 0.4000 |
| 0.379 | 12.0 | 13824 | 0.3965 |
| 0.3766 | 13.0 | 14976 | 0.3988 |
| 0.3676 | 14.0 | 16128 | 0.3920 |
| 0.3658 | 15.0 | 17280 | 0.3913 |
| 0.3587 | 16.0 | 18432 | 0.3872 |
| 0.3584 | 17.0 | 19584 | 0.3856 |
| 0.3554 | 18.0 | 20736 | 0.3832 |
| 0.3531 | 19.0 | 21888 | 0.3865 |
| 0.3503 | 20.0 | 23040 | 0.3828 |
| 0.3475 | 21.0 | 24192 | 0.3817 |
| 0.3428 | 22.0 | 25344 | 0.3807 |
| 0.3413 | 23.0 | 26496 | 0.3785 |
| 0.3376 | 24.0 | 27648 | 0.3811 |
| 0.3388 | 25.0 | 28800 | 0.3784 |
| 0.3356 | 26.0 | 29952 | 0.3797 |
| 0.3352 | 27.0 | 31104 | 0.3805 |
| 0.3374 | 28.0 | 32256 | 0.3782 |
| 0.3327 | 29.0 | 33408 | 0.3789 |
| 0.338 | 30.0 | 34560 | 0.3782 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 17, 2025
- Updated
- Mar 17, 2025