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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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+ base_model: bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-base-uncased-finetuned-wls-manual-7ep-lower
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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-base-uncased-finetuned-wls-manual-7ep-lower
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3490
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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: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 7
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.1113 | 0.93 | 7 | 1.9498 |
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+ | 1.6005 | 2.0 | 15 | 1.5784 |
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+ | 1.4812 | 2.93 | 22 | 1.4474 |
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+ | 1.3854 | 4.0 | 30 | 1.4290 |
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+ | 1.2898 | 4.93 | 37 | 1.2682 |
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+ | 1.2785 | 6.0 | 45 | 1.2677 |
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+ | 1.2535 | 6.53 | 49 | 1.3363 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3