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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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+ model-index:
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+ - name: bert_base_24
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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_24
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.0090
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+ - Accuracy: 0.1512
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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: 1e-05
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+ - train_batch_size: 48
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+ - eval_batch_size: 48
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+ - seed: 10
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+ - distributed_type: multi-GPU
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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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+ - lr_scheduler_warmup_steps: 10000
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+ - num_epochs: 5
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 6.4917 | 0.08 | 10000 | 6.4422 | 0.1406 |
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+ | 6.2848 | 0.16 | 20000 | 6.2644 | 0.1478 |
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+ | 6.1988 | 0.25 | 30000 | 6.1852 | 0.1493 |
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+ | 6.148 | 0.33 | 40000 | 6.1287 | 0.1501 |
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+ | 6.1007 | 0.41 | 50000 | 6.0888 | 0.1501 |
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+ | 6.0721 | 0.49 | 60000 | 6.0555 | 0.1499 |
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+ | 6.0414 | 0.57 | 70000 | 6.0274 | 0.1514 |
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+ | 6.0229 | 0.66 | 80000 | 6.0090 | 0.1512 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.1
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+ - Pytorch 1.14.0a0+410ce96
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3