clinical_longformer_same_tokens
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7059
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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4747 | 0.36 | 4 | 4.0650 |
| 3.6551 | 0.71 | 8 | 4.6086 |
| 3.6023 | 1.07 | 12 | 3.2223 |
| 4.1356 | 1.42 | 16 | 4.3734 |
| 3.5103 | 1.78 | 20 | 3.4911 |
| 3.8186 | 2.13 | 24 | 4.5828 |
| 3.5699 | 2.49 | 28 | 3.9042 |
| 3.9307 | 2.84 | 32 | 3.8804 |
| 3.4662 | 3.2 | 36 | 3.8901 |
| 4.0907 | 3.56 | 40 | 4.0173 |
| 3.7467 | 3.91 | 44 | 3.7059 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
allenai/longformer-base-4096