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clinical_longformer_same_tokens_200k
lukasdrg/clinical_longformer_same_tokens_200k
clinical_longformer_same_tokens_200k is a fill-mask model from lukasdrg. 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
- longformer
- Access
- Public
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023
- SHA
- b354e774
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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. -->
clinical_longformer_same_tokens_200k
This model is a fine-tuned version of lukasdrg/clinical_longformer_same_tokens_180k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9880
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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1167 | 0.46 | 65 | 1.9521 |
| 2.2993 | 0.92 | 130 | 1.9880 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- longformer
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023