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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: bert-nlp-project-ft-news-ds-google
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-nlp-project-ft-news-ds-google
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.3238
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- Accuracy: 0.9038
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- F1: 0.9107
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.3415 | 0.37 | 196 | 0.2452 | 0.9048 | 0.9136 |
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| 0.2747 | 0.75 | 392 | 0.2425 | 0.9076 | 0.9136 |
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| 0.2309 | 1.12 | 588 | 0.2658 | 0.9114 | 0.9179 |
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| 0.1964 | 1.49 | 784 | 0.2916 | 0.9010 | 0.9055 |
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| 0.1812 | 1.86 | 980 | 0.2950 | 0.9019 | 0.9091 |
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| 0.1569 | 2.24 | 1176 | 0.2926 | 0.9095 | 0.9164 |
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| 0.1173 | 2.61 | 1372 | 0.3188 | 0.9076 | 0.9145 |
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| 0.1145 | 2.98 | 1568 | 0.3238 | 0.9038 | 0.9107 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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