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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-google-ds-news
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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-google-ds-news
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.4440
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- Accuracy: 0.8938
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- F1: 0.8717
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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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| 0.3989 | 0.37 | 120 | 0.3025 | 0.875 | 0.8444 |
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| 0.3088 | 0.75 | 240 | 0.3063 | 0.8812 | 0.8577 |
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| 0.2669 | 1.12 | 360 | 0.3307 | 0.9 | 0.8801 |
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| 0.2058 | 1.5 | 480 | 0.3502 | 0.9 | 0.8769 |
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| 0.1626 | 1.87 | 600 | 0.3725 | 0.8953 | 0.8719 |
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| 0.1526 | 2.24 | 720 | 0.3813 | 0.8969 | 0.875 |
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| 0.0992 | 2.62 | 840 | 0.4399 | 0.8953 | 0.8738 |
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| 0.101 | 2.99 | 960 | 0.4440 | 0.8938 | 0.8717 |
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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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