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update model card README.md

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+ ---
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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-pretrain-finetuned-coqa-falttened
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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-pretrain-finetuned-coqa-falttened
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+
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+ This model is a fine-tuned version of [alistvt/bert-base-uncased-pretrained-mlm-coqa-stories](https://huggingface.co/alistvt/bert-base-uncased-pretrained-mlm-coqa-stories) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.8655
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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: 5e-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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+
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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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+ | 3.2886 | 0.29 | 2000 | 3.0142 |
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+ | 3.0801 | 0.59 | 4000 | 2.8347 |
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+ | 2.9744 | 0.88 | 6000 | 2.7643 |
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+ | 2.494 | 1.18 | 8000 | 2.7605 |
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+ | 2.4417 | 1.47 | 10000 | 2.7790 |
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+ | 2.4042 | 1.77 | 12000 | 2.7382 |
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+ | 2.1285 | 2.06 | 14000 | 2.8588 |
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+ | 2.0569 | 2.36 | 16000 | 2.8937 |
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+ | 2.0794 | 2.65 | 18000 | 2.8511 |
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+ | 2.0679 | 2.95 | 20000 | 2.8655 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 1.17.0
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+ - Tokenizers 0.10.3