---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: edos-2023-baseline-bert-base-uncased-label_vector
  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. -->

# edos-2023-baseline-bert-base-uncased-label_vector

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: 1.5258
- F1: 0.2606

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.1324        | 1.18  | 100  | 1.9573          | 0.0997 |
| 1.8322        | 2.35  | 200  | 1.8104          | 0.1286 |
| 1.6653        | 3.53  | 300  | 1.7238          | 0.1577 |
| 1.5292        | 4.71  | 400  | 1.6735          | 0.1655 |
| 1.423         | 5.88  | 500  | 1.5987          | 0.1916 |
| 1.2936        | 7.06  | 600  | 1.5628          | 0.2359 |
| 1.2256        | 8.24  | 700  | 1.5492          | 0.2496 |
| 1.1385        | 9.41  | 800  | 1.5388          | 0.2618 |
| 1.1138        | 10.59 | 900  | 1.5233          | 0.2678 |
| 1.0599        | 11.76 | 1000 | 1.5258          | 0.2606 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2