metadata
base_model: mrm8488/longformer-base-4096-finetuned-squadv2
tags:
- generated_from_trainer
model-index:
- name: longformer_4096_qsi
results: []
longformer_4096_qsi
This model is a fine-tuned version of mrm8488/longformer-base-4096-finetuned-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9598
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 93 | 3.0886 |
| No log | 1.99 | 186 | 3.3755 |
| No log | 2.99 | 279 | 2.9598 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0