metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: longformer-base-4096-ner-invoice
results: []
longformer-base-4096-ner-invoice
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: 0.0113
- Precision: 0.9741
- Recall: 0.9847
- F1: 0.9793
- Accuracy: 0.9975
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 138 | 0.0484 | 0.8748 | 0.8996 | 0.8870 | 0.9887 |
| No log | 2.0 | 276 | 0.0139 | 0.9626 | 0.9769 | 0.9697 | 0.9969 |
| No log | 3.0 | 414 | 0.0113 | 0.9741 | 0.9847 | 0.9793 | 0.9975 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1