clinical_longformer_same_tokens_1epochs_250k
This model is a fine-tuned version of camilon/clinical_longformer_same_tokens_1epochs_200k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5640
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 |
|---|---|---|---|
| 1.7984 | 0.16 | 65 | 1.6415 |
| 1.8332 | 0.31 | 130 | 1.6324 |
| 1.7428 | 0.47 | 195 | 1.6149 |
| 1.8757 | 0.63 | 260 | 1.5976 |
| 1.7874 | 0.78 | 325 | 1.5924 |
| 1.8166 | 0.94 | 390 | 1.5640 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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