metadata
base_model: lilyyellow/my_awesome_ner-token_classification_v1.0.7-4
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_ner-token_classification_v1.0.7-4
results: []
my_awesome_ner-token_classification_v1.0.7-4
This model is a fine-tuned version of lilyyellow/my_awesome_ner-token_classification_v1.0.7-4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5084
- Precision: 0.6376
- Recall: 0.6915
- F1: 0.6634
- Accuracy: 0.8858
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1297 | 1.9965 | 1156 | 0.4660 | 0.6384 | 0.6812 | 0.6591 | 0.8855 |
| 0.0986 | 3.9931 | 2312 | 0.5084 | 0.6376 | 0.6915 | 0.6634 | 0.8858 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1