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  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: enron_gpt2_model_part2
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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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+ # enron_gpt2_model_part2
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+
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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: 3.0151
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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: 4
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+ - eval_batch_size: 4
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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: 10
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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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+ | 3.2615 | 1.0 | 336 | 3.1207 |
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+ | 3.0509 | 2.0 | 672 | 3.0693 |
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+ | 2.9441 | 3.0 | 1008 | 3.0389 |
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+ | 2.8636 | 4.0 | 1344 | 3.0271 |
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+ | 2.799 | 5.0 | 1680 | 3.0160 |
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+ | 2.7472 | 6.0 | 2016 | 3.0125 |
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+ | 2.706 | 7.0 | 2352 | 3.0108 |
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+ | 2.674 | 8.0 | 2688 | 3.0141 |
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+ | 2.651 | 9.0 | 3024 | 3.0126 |
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+ | 2.6361 | 10.0 | 3360 | 3.0151 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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