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library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-cased-finetuned-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. -->
# bert-base-cased-finetuned-ner
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2415
- Precision: 0.8271
- Recall: 0.8524
- F1: 0.8396
- Accuracy: 0.9644
## 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: 4
- 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1239 | 1.0 | 9500 | 0.1210 | 0.8028 | 0.8243 | 0.8134 | 0.9614 |
| 0.0939 | 2.0 | 19000 | 0.1206 | 0.8218 | 0.8313 | 0.8265 | 0.9638 |
| 0.0737 | 3.0 | 28500 | 0.1306 | 0.8201 | 0.8447 | 0.8323 | 0.9642 |
| 0.0483 | 4.0 | 38000 | 0.1526 | 0.8239 | 0.8477 | 0.8356 | 0.9647 |
| 0.0301 | 5.0 | 47500 | 0.1939 | 0.8354 | 0.8529 | 0.8441 | 0.9649 |
| 0.0157 | 6.0 | 57000 | 0.2213 | 0.8310 | 0.8549 | 0.8428 | 0.9647 |
| 0.0099 | 7.0 | 66500 | 0.2415 | 0.8271 | 0.8524 | 0.8396 | 0.9644 |
### Framework versions
- Transformers 4.50.1
- Pytorch 2.5.1+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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