Model save
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- pytorch_model.bin +1 -1
README.md
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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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<!-- 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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# enron_gpt2_model_part2
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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pytorch_model.bin
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