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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-google
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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-google
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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: 0.3097
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+ - Accuracy: 0.9124
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+ - F1: 0.9197
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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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+ | 0.3517 | 0.37 | 196 | 0.2556 | 0.9105 | 0.9187 |
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+ | 0.27 | 0.75 | 392 | 0.2369 | 0.9038 | 0.9105 |
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+ | 0.2246 | 1.12 | 588 | 0.2630 | 0.9133 | 0.9205 |
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+ | 0.1869 | 1.49 | 784 | 0.2885 | 0.9038 | 0.9071 |
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+ | 0.1696 | 1.86 | 980 | 0.2811 | 0.9152 | 0.9233 |
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+ | 0.1474 | 2.24 | 1176 | 0.2918 | 0.9190 | 0.9243 |
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+ | 0.1187 | 2.61 | 1372 | 0.3045 | 0.9133 | 0.9212 |
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+ | 0.1077 | 2.98 | 1568 | 0.3097 | 0.9124 | 0.9197 |
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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