metadata
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: []
token_classification_NER
This model is a fine-tuned version of 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