metadata
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta_crf_ner_finetuned
results: []
roberta_crf_ner_finetuned
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Precision: 0.7893
- Recall: 0.6294
- F1: 0.6950
- Accuracy: 0.8037
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 85 | nan | 1.0 | 0.0 | 0.0 | 0.7707 |
| 0.0 | 2.0 | 170 | nan | 0.5437 | 0.1932 | 0.1694 | 0.8848 |
| 0.0 | 3.0 | 255 | nan | 0.4412 | 0.3360 | 0.3230 | 0.9228 |
| 0.0 | 4.0 | 340 | nan | 0.4888 | 0.6412 | 0.5523 | 0.9161 |
| 0.0 | 5.0 | 425 | nan | 0.6312 | 0.6266 | 0.6206 | 0.9451 |
| 0.0 | 6.0 | 510 | nan | 0.6319 | 0.6851 | 0.6560 | 0.9484 |
| 0.0 | 7.0 | 595 | nan | 0.6655 | 0.7110 | 0.6869 | 0.9518 |
| 0.0 | 8.0 | 680 | nan | 0.6341 | 0.7094 | 0.6693 | 0.9508 |
| 0.0 | 9.0 | 765 | nan | 0.6745 | 0.7127 | 0.6924 | 0.9533 |
| 0.0 | 10.0 | 850 | nan | 0.6886 | 0.7175 | 0.7019 | 0.9548 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1