metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens
results: []
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: 19.3114
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 |
|---|---|---|---|
| 20.339 | 0.36 | 4 | 20.7522 |
| 18.817 | 0.71 | 8 | 20.7752 |
| 19.8054 | 1.07 | 12 | 20.9602 |
| 20.1845 | 1.42 | 16 | 20.5820 |
| 19.0897 | 1.78 | 20 | 20.4297 |
| 19.4773 | 2.13 | 24 | 20.5561 |
| 19.448 | 2.49 | 28 | 20.3986 |
| 18.6107 | 2.84 | 32 | 20.1962 |
| 19.3799 | 3.2 | 36 | 20.0190 |
| 19.0794 | 3.56 | 40 | 19.8159 |
| 18.489 | 3.91 | 44 | 19.3114 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1