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update model card README.md

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  ---
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- license: mit
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,7 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # gpt2-reporter
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 
 
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  ## Model description
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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: 32
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- - eval_batch_size: 32
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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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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 3
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  ### Training results
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  ### Framework versions
 
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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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  # gpt2-reporter
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+ This model is a fine-tuned version of [uer/gpt2-chinese-cluecorpussmall](https://huggingface.co/uer/gpt2-chinese-cluecorpussmall) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4819
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  ## Model description
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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: 8
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+ - eval_batch_size: 8
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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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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 2
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7694 | 0.28 | 400 | 2.5751 |
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+ | 2.6336 | 0.56 | 800 | 2.5318 |
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+ | 2.5564 | 0.84 | 1200 | 2.5071 |
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+ | 2.482 | 1.12 | 1600 | 2.4993 |
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+ | 2.4243 | 1.4 | 2000 | 2.4910 |
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+ | 2.4009 | 1.68 | 2400 | 2.4850 |
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+ | 2.3865 | 1.96 | 2800 | 2.4819 |
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  ### Framework versions