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README.md
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# GPT2-medium
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This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on the None dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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# GPT2-medium
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This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5613
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## Model description
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### Training hyperparameters
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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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: cosine
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- lr_scheduler_warmup_ratio: 0.15
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.4653 | 1.7937 | 50 | 0.5613 |
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| 0.3154 | 3.5874 | 100 | 0.5657 |
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| 0.2436 | 5.3812 | 150 | 0.5961 |
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| 0.2138 | 7.1749 | 200 | 0.6012 |
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| 0.197 | 8.9686 | 250 | 0.6177 |
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### Framework versions
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model.safetensors
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