metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_new_tokens
results: []
clinical_longformer_new_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: 2.6416
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: 56
- total_train_batch_size: 112
- 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 |
|---|---|---|---|
| 4.3605 | 0.31 | 50 | 3.7983 |
| 3.9502 | 0.62 | 100 | 3.4157 |
| 3.4719 | 0.93 | 150 | 3.2378 |
| 3.3937 | 1.24 | 200 | 3.0982 |
| 3.3123 | 1.56 | 250 | 3.0227 |
| 3.3164 | 1.87 | 300 | 2.9341 |
| 2.9789 | 2.18 | 350 | 2.8408 |
| 2.9593 | 2.49 | 400 | 2.8201 |
| 2.8724 | 2.8 | 450 | 2.7561 |
| 2.8753 | 3.11 | 500 | 2.7083 |
| 2.8017 | 3.42 | 550 | 2.6593 |
| 2.7496 | 3.73 | 600 | 2.6416 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1