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distilbert-base-uncased-finetuned-LM-ATTCK
fbi0826/distilbert-base-uncased-finetuned-LM-ATTCK
distilbert-base-uncased-finetuned-LM-ATTCK is a fill-mask model from fbi0826. 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
- distilbert
- Access
- Public
- Created
- Jun 9, 2024
- Updated
- Jun 10, 2024
- SHA
- 1677a246
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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. -->
distilbert-base-uncased-finetuned-LM-ATTCK
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7330
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4908 | 1.0 | 23 | 2.0623 |
| 2.0136 | 2.0 | 46 | 1.8937 |
| 1.8707 | 3.0 | 69 | 1.9245 |
| 1.8059 | 4.0 | 92 | 1.6726 |
| 1.6933 | 5.0 | 115 | 1.6627 |
| 1.6601 | 6.0 | 138 | 1.6533 |
| 1.5759 | 7.0 | 161 | 1.6518 |
| 1.6056 | 8.0 | 184 | 1.6891 |
| 1.5048 | 9.0 | 207 | 1.5486 |
| 1.4759 | 10.0 | 230 | 1.5988 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 9, 2024
- Updated
- Jun 10, 2024