---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-phia-test
  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-phia-test

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0910
- F1: 0.9900

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 50   | 1.4259          | 0.5356 |
| No log        | 2.0   | 100  | 0.9857          | 0.6872 |
| No log        | 3.0   | 150  | 0.6589          | 0.7432 |
| 1.2595        | 4.0   | 200  | 0.4964          | 0.7834 |
| 1.2595        | 5.0   | 250  | 0.3924          | 0.8645 |
| 1.2595        | 6.0   | 300  | 0.2486          | 0.9424 |
| 1.2595        | 7.0   | 350  | 0.1698          | 0.9673 |
| 0.3376        | 8.0   | 400  | 0.1360          | 0.9763 |
| 0.3376        | 9.0   | 450  | 0.1050          | 0.9763 |
| 0.3376        | 10.0  | 500  | 0.0910          | 0.9900 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1