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scibert_scivocab_cased-finetuned-scc
phd2023/scibert_scivocab_cased-finetuned-scc
scibert_scivocab_cased-finetuned-scc is a fill-mask model from phd2023. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 16, 2023
- Updated
- Mar 16, 2023
- SHA
- 03e5aab4
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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. -->
scibert_scivocab_cased-finetuned-scc
This model is a fine-tuned version of allenai/scibert_scivocab_cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5173
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: 2e-05
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 20 | 2.6666 |
| No log | 2.0 | 40 | 2.5236 |
| No log | 3.0 | 60 | 2.4550 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.11.6
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Mar 16, 2023
- Updated
- Mar 16, 2023