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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-nlp-project-ft-news-ds-google
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-nlp-project-ft-news-ds-google
This model is a fine-tuned version of [jestemleon/bert-nlp-project-news](https://huggingface.co/jestemleon/bert-nlp-project-news) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3238
- Accuracy: 0.9038
- F1: 0.9107
## 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: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3415 | 0.37 | 196 | 0.2452 | 0.9048 | 0.9136 |
| 0.2747 | 0.75 | 392 | 0.2425 | 0.9076 | 0.9136 |
| 0.2309 | 1.12 | 588 | 0.2658 | 0.9114 | 0.9179 |
| 0.1964 | 1.49 | 784 | 0.2916 | 0.9010 | 0.9055 |
| 0.1812 | 1.86 | 980 | 0.2950 | 0.9019 | 0.9091 |
| 0.1569 | 2.24 | 1176 | 0.2926 | 0.9095 | 0.9164 |
| 0.1173 | 2.61 | 1372 | 0.3188 | 0.9076 | 0.9145 |
| 0.1145 | 2.98 | 1568 | 0.3238 | 0.9038 | 0.9107 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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