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update model card 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-imdb-ds-news
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+ results: []
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+ ---
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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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+
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+ # bert-nlp-project-ft-imdb-ds-news
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+
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+ This model is a fine-tuned version of [jestemleon/bert-nlp-project-imdb](https://huggingface.co/jestemleon/bert-nlp-project-imdb) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4268
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+ - Accuracy: 0.8984
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+ - F1: 0.8780
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.4318 | 0.37 | 120 | 0.3162 | 0.8828 | 0.8598 |
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+ | 0.3094 | 0.75 | 240 | 0.2958 | 0.8891 | 0.8678 |
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+ | 0.2667 | 1.12 | 360 | 0.3354 | 0.8984 | 0.8776 |
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+ | 0.2074 | 1.5 | 480 | 0.3459 | 0.8922 | 0.8691 |
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+ | 0.1805 | 1.87 | 600 | 0.3802 | 0.8969 | 0.8769 |
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+ | 0.132 | 2.24 | 720 | 0.3858 | 0.9 | 0.8779 |
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+ | 0.1051 | 2.62 | 840 | 0.4174 | 0.8969 | 0.8755 |
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+ | 0.1074 | 2.99 | 960 | 0.4268 | 0.8984 | 0.8780 |
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+
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+
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+ ### Framework versions
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+
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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