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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-nlp-project-ft-google-ds-news
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-google-ds-news
This model is a fine-tuned version of [jestemleon/bert-nlp-project-google](https://huggingface.co/jestemleon/bert-nlp-project-google) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4440
- Accuracy: 0.8938
- F1: 0.8717
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3989 | 0.37 | 120 | 0.3025 | 0.875 | 0.8444 |
| 0.3088 | 0.75 | 240 | 0.3063 | 0.8812 | 0.8577 |
| 0.2669 | 1.12 | 360 | 0.3307 | 0.9 | 0.8801 |
| 0.2058 | 1.5 | 480 | 0.3502 | 0.9 | 0.8769 |
| 0.1626 | 1.87 | 600 | 0.3725 | 0.8953 | 0.8719 |
| 0.1526 | 2.24 | 720 | 0.3813 | 0.8969 | 0.875 |
| 0.0992 | 2.62 | 840 | 0.4399 | 0.8953 | 0.8738 |
| 0.101 | 2.99 | 960 | 0.4440 | 0.8938 | 0.8717 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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