metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification_test_13Dec
results: []
classification_test_13Dec
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: 0.4717
- Accuracy: 0.9402
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.162 | 1.0 | 3460 | 1.1442 | 0.8163 |
| 0.5665 | 2.0 | 6920 | 0.6261 | 0.9055 |
| 0.4811 | 3.0 | 10380 | 0.5866 | 0.9168 |
| 0.2634 | 4.0 | 13840 | 0.4803 | 0.9341 |
| 0.1288 | 5.0 | 17300 | 0.4717 | 0.9402 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0