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End of training

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README.md ADDED
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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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+
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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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+ # my_awesome_eli5_clm-model
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+
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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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+
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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: 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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+
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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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+ | 3.8131 | 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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+
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+
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+ ### Framework versions
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+
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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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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.39.3"
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+ }
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