---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: disaster-tweet-teacher
  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. -->

# disaster-tweet-teacher

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4062
- Accuracy: 0.811
- Auc: 0.905

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
| 0.5137        | 1.0   | 263  | 0.4356          | 0.793    | 0.892 |
| 0.4518        | 2.0   | 526  | 0.3996          | 0.827    | 0.9   |
| 0.421         | 3.0   | 789  | 0.4352          | 0.804    | 0.9   |
| 0.4128        | 4.0   | 1052 | 0.4023          | 0.818    | 0.902 |
| 0.4055        | 5.0   | 1315 | 0.4191          | 0.8      | 0.902 |
| 0.3988        | 6.0   | 1578 | 0.4112          | 0.809    | 0.901 |
| 0.4007        | 7.0   | 1841 | 0.4376          | 0.804    | 0.903 |
| 0.3911        | 8.0   | 2104 | 0.4066          | 0.809    | 0.904 |
| 0.3966        | 9.0   | 2367 | 0.4185          | 0.811    | 0.904 |
| 0.3909        | 10.0  | 2630 | 0.4062          | 0.811    | 0.905 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0