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---
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license: apache-2.0
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base_model: distilgpt2
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tags:
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- generated_from_trainer
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datasets:
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- eli5_category
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model-index:
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- name: my_awesome_eli5_clm-model
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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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# my_awesome_eli5_clm-model
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the eli5_category dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7706
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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: 2e-05
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- train_batch_size: 32
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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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.8131 | 1.0 | 7169 | 3.8190 |
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| 3.7674 | 2.0 | 14338 | 3.7934 |
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| 3.7384 | 3.0 | 21507 | 3.7795 |
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| 3.7203 | 4.0 | 28676 | 3.7722 |
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| 3.705 | 5.0 | 35845 | 3.7706 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.2+cu118
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- Datasets 2.20.0
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- Tokenizers 0.15.2
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