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distilbert-base-uncased-issues-128-FINER-ABSA
peammy/distilbert-base-uncased-issues-128-FINER-ABSA
distilbert-base-uncased-issues-128-FINER-ABSA is a fill-mask model from peammy. Use it when you need the model to fill a missing word. 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
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- dd791678
Try a prompt
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. -->
distilbert-base-uncased-issues-128-FINER-ABSA
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2755
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: 8
- 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: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3368 | 1.0 | 388 | 2.1709 |
| 2.0795 | 2.0 | 776 | 2.4556 |
| 1.9588 | 3.0 | 1164 | 2.1362 |
| 1.8588 | 4.0 | 1552 | 2.1211 |
| 1.7829 | 5.0 | 1940 | 2.0847 |
| 1.7205 | 6.0 | 2328 | 1.9679 |
| 1.6457 | 7.0 | 2716 | 2.3018 |
| 1.592 | 8.0 | 3104 | 2.5476 |
| 1.5514 | 9.0 | 3492 | 2.1689 |
| 1.4995 | 10.0 | 3880 | 2.3121 |
| 1.454 | 11.0 | 4268 | 2.0584 |
| 1.4353 | 12.0 | 4656 | 2.4454 |
| 1.398 | 13.0 | 5044 | 2.3003 |
| 1.3632 | 14.0 | 5432 | 2.2741 |
| 1.3431 | 15.0 | 5820 | 2.3972 |
| 1.2959 | 16.0 | 6208 | 2.0092 |
| 1.2502 | 17.0 | 6596 | 2.6074 |
| 1.2428 | 18.0 | 6984 | 2.4610 |
| 1.2173 | 19.0 | 7372 | 2.2601 |
| 1.1897 | 20.0 | 7760 | 1.9136 |
| 1.1794 | 21.0 | 8148 | 2.3777 |
| 1.1414 | 22.0 | 8536 | 2.4453 |
| 1.1451 | 23.0 | 8924 | 2.2062 |
| 1.0995 | 24.0 | 9312 | 2.0046 |
| 1.0842 | 25.0 | 9700 | 2.3008 |
| 1.0775 | 26.0 | 10088 | 2.2165 |
| 1.0534 | 27.0 | 10476 | 2.4383 |
| 1.045 | 28.0 | 10864 | 2.5337 |
| 1.0316 | 29.0 | 11252 | 1.9797 |
| 1.0143 | 30.0 | 11640 | 2.3651 |
| 0.9912 | 31.0 | 12028 | 2.2892 |
| 0.9995 | 32.0 | 12416 | 2.2585 |
| 0.9715 | 33.0 | 12804 | 2.3780 |
| 0.9683 | 34.0 | 13192 | 2.1615 |
| 0.9452 | 35.0 | 13580 | 2.5597 |
| 0.9563 | 36.0 | 13968 | 2.3249 |
| 0.9555 | 37.0 | 14356 | 2.6080 |
| 0.9446 | 38.0 | 14744 | 2.2567 |
| 0.9307 | 39.0 | 15132 | 2.3204 |
| 0.9306 | 40.0 | 15520 | 2.2755 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025