metadata
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: longformer-base-4096-finetuned-squad2-length-1024-128window
results: []
longformer-base-4096-finetuned-squad2-length-1024-128window
This model is a fine-tuned version of allenai/longformer-base-4096 on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9057
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8641 | 1.0 | 32580 | 0.9057 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1