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---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: summerschool-bert-irony
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. -->
# ssummerschool-bert-irony
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: 0.8767
- Accuracy: 0.7015
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6792 | 0.2793 | 50 | 0.6678 | 0.5759 |
| 0.6489 | 0.5587 | 100 | 0.6514 | 0.6147 |
| 0.6282 | 0.8380 | 150 | 0.6360 | 0.6461 |
| 0.5746 | 1.1173 | 200 | 0.6596 | 0.6492 |
| 0.5325 | 1.3966 | 250 | 0.6253 | 0.6785 |
| 0.5431 | 1.6760 | 300 | 0.6226 | 0.6712 |
| 0.5058 | 1.9553 | 350 | 0.5896 | 0.6869 |
| 0.3982 | 2.2346 | 400 | 0.6467 | 0.6859 |
| 0.3837 | 2.5140 | 450 | 0.7012 | 0.6785 |
| 0.3714 | 2.7933 | 500 | 0.7326 | 0.6586 |
| 0.347 | 3.0726 | 550 | 0.7592 | 0.6702 |
| 0.247 | 3.3520 | 600 | 0.7466 | 0.6942 |
| 0.2382 | 3.6313 | 650 | 0.7514 | 0.6953 |
| 0.2304 | 3.9106 | 700 | 0.8268 | 0.6838 |
| 0.1716 | 4.1899 | 750 | 0.8822 | 0.6806 |
| 0.1631 | 4.4693 | 800 | 0.8698 | 0.6932 |
| 0.1435 | 4.7486 | 850 | 0.9178 | 0.6838 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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