metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens_30k
results: []
clinical_longformer_same_tokens_30k
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: 1.9398
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 |
|---|---|---|---|
| 3.333 | 0.12 | 65 | 2.4872 |
| 2.6244 | 0.23 | 130 | 2.3902 |
| 2.6084 | 0.35 | 195 | 2.2913 |
| 2.4782 | 0.46 | 260 | 2.1766 |
| 2.4194 | 0.58 | 325 | 2.1188 |
| 2.1494 | 0.69 | 390 | 2.0529 |
| 2.1218 | 0.81 | 455 | 1.9691 |
| 2.0447 | 0.92 | 520 | 1.9398 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1