metadata
license: cc-by-nc-sa-4.0
base_model: Babelscape/wikineural-multilingual-ner
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: wikineural-finetuned-ner
results: []
wikineural-finetuned-ner
This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0198
- Precision: 0.9855
- Recall: 0.9833
- F1: 0.9844
- Accuracy: 0.9956
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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 0.1020 | 0.8658 | 0.9134 | 0.8890 | 0.9693 |
| No log | 2.0 | 200 | 0.0229 | 0.9828 | 0.9821 | 0.9824 | 0.9950 |
| No log | 3.0 | 300 | 0.0198 | 0.9855 | 0.9833 | 0.9844 | 0.9956 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1