---
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
- recall
model-index:
- name: bert-base-cased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-cased

This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6750
- F1 Macro: 0.9031
- F1: 0.9370
- F1 Neg: 0.8692
- Acc: 0.915
- Prec: 0.9336
- Recall: 0.9405
- Mcc: 0.8063

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| 0.1886        | 1.0   | 2125  | 0.3952          | 0.8938   | 0.9283 | 0.8593 | 0.905  | 0.9425 | 0.9145 | 0.7884 |
| 0.0578        | 2.0   | 4250  | 0.6750          | 0.9031   | 0.9370 | 0.8692 | 0.915  | 0.9336 | 0.9405 | 0.8063 |
| 0.0243        | 3.0   | 6375  | 0.7559          | 0.8922   | 0.9294 | 0.8550 | 0.905  | 0.9294 | 0.9294 | 0.7843 |
| 0.0084        | 4.0   | 8500  | 0.8553          | 0.9001   | 0.9353 | 0.8649 | 0.9125 | 0.9301 | 0.9405 | 0.8003 |
| 0.0131        | 5.0   | 10625 | 0.8916          | 0.8974   | 0.9333 | 0.8615 | 0.91   | 0.9299 | 0.9368 | 0.7949 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2