metadata
license: cc-by-nc-3.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-NER
results: []
roberta-large-NER
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1053
- Precision: 0.6030
- Recall: 0.5688
- F1: 0.5854
- Accuracy: 0.9628
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1188 | 1.0 | 2714 | 0.1053 | 0.6030 | 0.5688 | 0.5854 | 0.9628 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1