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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-airlines
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-uncased-airlines
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: 0.3458
- Accuracy: 0.9021
- F1: 0.9022
## 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-06
- 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 405 | 0.3230 | 0.8754 | 0.8750 |
| 0.4658 | 2.0 | 810 | 0.2738 | 0.8986 | 0.8985 |
| 0.2473 | 3.0 | 1215 | 0.2944 | 0.9110 | 0.9111 |
| 0.2498 | 4.0 | 1620 | 0.3322 | 0.8950 | 0.8949 |
| 0.2174 | 5.0 | 2025 | 0.3342 | 0.9021 | 0.9021 |
| 0.2174 | 6.0 | 2430 | 0.3526 | 0.8986 | 0.8985 |
| 0.2055 | 7.0 | 2835 | 0.3458 | 0.9021 | 0.9022 |
### Framework versions
- Transformers 4.14.1
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
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