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art-des-bert-large-cased
bencyc1129/art-des-bert-large-cased
art-des-bert-large-cased is a fill-mask model from bencyc1129. 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
- Apr 21, 2024
- Updated
- Apr 22, 2024
- SHA
- 6b0e72a4
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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. -->
art-des-bert-large-cased
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2776
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8053 | 5.19 | 100 | 1.4663 |
| 1.3212 | 10.39 | 200 | 1.3795 |
| 1.0223 | 15.58 | 300 | 1.3545 |
| 0.8991 | 20.78 | 400 | 1.3239 |
| 0.7579 | 25.97 | 500 | 1.3276 |
| 0.6554 | 31.17 | 600 | 1.3435 |
| 0.5786 | 36.36 | 700 | 1.2276 |
| 0.5386 | 41.56 | 800 | 1.1930 |
| 0.479 | 46.75 | 900 | 1.2091 |
| 0.4336 | 51.95 | 1000 | 1.0554 |
| 0.3776 | 57.14 | 1100 | 1.4044 |
| 0.3582 | 62.34 | 1200 | 1.1651 |
| 0.3343 | 67.53 | 1300 | 1.2394 |
| 0.3093 | 72.73 | 1400 | 1.1313 |
| 0.2952 | 77.92 | 1500 | 1.2107 |
| 0.2845 | 83.12 | 1600 | 1.2804 |
| 0.2585 | 88.31 | 1700 | 1.1700 |
| 0.2548 | 93.51 | 1800 | 1.2391 |
| 0.2581 | 98.7 | 1900 | 1.2776 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 22, 2024