metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-for-patents-finetuned-ner
results: []
bert-for-patents-finetuned-ner
This model is a fine-tuned version of anferico/bert-for-patents on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2000
- Precision: 0.8850
- Recall: 0.9021
- F1: 0.8934
- Accuracy: 0.9606
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 23 | 1.0514 | 0.3450 | 0.4285 | 0.3822 | 0.7016 |
No log | 2.0 | 46 | 0.7917 | 0.4629 | 0.3607 | 0.4055 | 0.7519 |
No log | 3.0 | 69 | 0.6941 | 0.4830 | 0.6241 | 0.5446 | 0.7780 |
No log | 4.0 | 92 | 0.5767 | 0.5409 | 0.6947 | 0.6082 | 0.8128 |
No log | 5.0 | 115 | 0.4727 | 0.6292 | 0.7267 | 0.6745 | 0.8564 |
No log | 6.0 | 138 | 0.3939 | 0.7001 | 0.7587 | 0.7282 | 0.8854 |
No log | 7.0 | 161 | 0.3646 | 0.6818 | 0.8122 | 0.7413 | 0.8946 |
No log | 8.0 | 184 | 0.3300 | 0.7259 | 0.8184 | 0.7694 | 0.9076 |
No log | 9.0 | 207 | 0.2779 | 0.7944 | 0.8424 | 0.8177 | 0.9298 |
No log | 10.0 | 230 | 0.2541 | 0.8202 | 0.8610 | 0.8401 | 0.9398 |
No log | 11.0 | 253 | 0.2391 | 0.8509 | 0.8657 | 0.8582 | 0.9469 |
No log | 12.0 | 276 | 0.2340 | 0.8268 | 0.8790 | 0.8521 | 0.9442 |
No log | 13.0 | 299 | 0.2109 | 0.8707 | 0.8859 | 0.8782 | 0.9556 |
No log | 14.0 | 322 | 0.2032 | 0.8785 | 0.8971 | 0.8877 | 0.9576 |
No log | 15.0 | 345 | 0.2071 | 0.8700 | 0.8986 | 0.8841 | 0.9573 |
No log | 16.0 | 368 | 0.2005 | 0.8771 | 0.8989 | 0.8879 | 0.9585 |
No log | 17.0 | 391 | 0.2014 | 0.8855 | 0.8993 | 0.8923 | 0.9605 |
No log | 18.0 | 414 | 0.2008 | 0.8864 | 0.9024 | 0.8943 | 0.9606 |
No log | 19.0 | 437 | 0.2001 | 0.8847 | 0.9021 | 0.8933 | 0.9606 |
No log | 20.0 | 460 | 0.2000 | 0.8850 | 0.9021 | 0.8934 | 0.9606 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3