metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: longformer_result_detection
results: []
longformer_result_detection
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1156
- Precision: 0.6277
- Recall: 0.6694
- F1: 0.6479
- Accuracy: 0.9802
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 348 | 0.0716 | 0.4966 | 0.6050 | 0.5455 | 0.9740 |
| 0.1189 | 2.0 | 696 | 0.0634 | 0.5302 | 0.6195 | 0.5714 | 0.9770 |
| 0.0588 | 3.0 | 1044 | 0.0760 | 0.5518 | 0.6424 | 0.5937 | 0.9774 |
| 0.0588 | 4.0 | 1392 | 0.0760 | 0.6121 | 0.6528 | 0.6318 | 0.9785 |
| 0.0282 | 5.0 | 1740 | 0.0910 | 0.6107 | 0.6424 | 0.6261 | 0.9792 |
| 0.0167 | 6.0 | 2088 | 0.1372 | 0.6 | 0.5364 | 0.5664 | 0.9745 |
| 0.0167 | 7.0 | 2436 | 0.1144 | 0.6028 | 0.6216 | 0.6121 | 0.9793 |
| 0.0087 | 8.0 | 2784 | 0.1011 | 0.6120 | 0.6590 | 0.6346 | 0.9805 |
| 0.0061 | 9.0 | 3132 | 0.1239 | 0.6315 | 0.6341 | 0.6328 | 0.9802 |
| 0.0061 | 10.0 | 3480 | 0.1156 | 0.6277 | 0.6694 | 0.6479 | 0.9802 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1