update model card README.md
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README.md
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This model is a fine-tuned version of [theta/gpt2-reporter](https://huggingface.co/theta/gpt2-reporter) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 2.
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- eval_runtime:
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- eval_samples_per_second:
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- eval_steps_per_second:
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- epoch: 0.
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- step:
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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:
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- eval_batch_size:
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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:
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### Framework versions
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This model is a fine-tuned version of [theta/gpt2-reporter](https://huggingface.co/theta/gpt2-reporter) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 2.5114
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- eval_runtime: 104.6928
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- eval_samples_per_second: 54.674
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- eval_steps_per_second: 3.42
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- epoch: 0.24
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- step: 4400
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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: 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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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### Framework versions
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