---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: text-to-icpc2
  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. -->

# text-to-icpc2

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: 1.7544
- Accuracy: 0.6679

## 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: 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: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.2683        | 1.0   | 1093  | 5.0759          | 0.0819   |
| 4.0898        | 2.0   | 2186  | 4.1968          | 0.2182   |
| 3.4238        | 3.0   | 3279  | 3.5428          | 0.3321   |
| 2.9107        | 4.0   | 4372  | 3.0363          | 0.4099   |
| 2.4188        | 5.0   | 5465  | 2.6765          | 0.4895   |
| 1.9262        | 6.0   | 6558  | 2.3752          | 0.5339   |
| 1.6271        | 7.0   | 7651  | 2.1641          | 0.5787   |
| 1.3296        | 8.0   | 8744  | 1.9912          | 0.6162   |
| 1.1168        | 9.0   | 9837  | 1.8705          | 0.6455   |
| 0.8994        | 10.0  | 10930 | 1.8159          | 0.6624   |
| 0.8697        | 11.0  | 12023 | 1.7745          | 0.6679   |
| 0.8058        | 12.0  | 13116 | 1.7544          | 0.6679   |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1