|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: dany0407/token_classification_NER |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- precision |
|
|
- recall |
|
|
- f1 |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: token_classification_NER |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# token_classification_NER |
|
|
|
|
|
This model is a fine-tuned version of [dany0407/token_classification_NER](https://huggingface.co/dany0407/token_classification_NER) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3086 |
|
|
- Precision: 0.5215 |
|
|
- Recall: 0.3939 |
|
|
- F1: 0.4488 |
|
|
- Accuracy: 0.9461 |
|
|
|
|
|
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
|
|
| No log | 1.0 | 213 | 0.2594 | 0.6151 | 0.3095 | 0.4118 | 0.9428 | |
|
|
| No log | 2.0 | 426 | 0.2813 | 0.5541 | 0.3466 | 0.4265 | 0.9444 | |
|
|
| 0.0965 | 3.0 | 639 | 0.3013 | 0.5584 | 0.3587 | 0.4368 | 0.9455 | |
|
|
| 0.0965 | 4.0 | 852 | 0.3036 | 0.5416 | 0.3865 | 0.4511 | 0.9463 | |
|
|
| 0.0375 | 5.0 | 1065 | 0.3086 | 0.5215 | 0.3939 | 0.4488 | 0.9461 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.53.3 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.21.2 |
|
|
|
