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README.md
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# highlight_model
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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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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 4
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.
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# highlight_model
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8965
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 4
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.98 | 22 | 3.0073 |
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| No log | 1.98 | 44 | 2.7684 |
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| No log | 2.98 | 66 | 2.8394 |
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| No log | 3.98 | 88 | 2.8965 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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