clinical_longformer_new_tokens_v2
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: 4.8474
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5192 | 1.42 | 2 | 4.9585 |
| 2.6002 | 2.84 | 4 | 4.5364 |
| 2.0541 | 4.0 | 6 | 5.1700 |
| 1.8191 | 5.0 | 8 | 4.7585 |
| 1.8123 | 6.0 | 10 | 4.3768 |
| 2.0364 | 7.11 | 12 | 4.8248 |
| 2.4587 | 8.53 | 14 | 4.9780 |
| 2.4665 | 9.96 | 16 | 4.2456 |
| 1.7881 | 11.0 | 18 | 4.1161 |
| 1.7651 | 12.0 | 20 | 4.8474 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
allenai/longformer-base-4096