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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: distilbert/distilgpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: finetuned-gpt2-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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+ # finetuned-gpt2-model
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+
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+ This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2749
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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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+ | No log | 1.0 | 147 | 0.2728 |
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+ | No log | 2.0 | 294 | 0.2595 |
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+ | No log | 3.0 | 441 | 0.2591 |
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+ | 0.3157 | 4.0 | 588 | 0.2594 |
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+ | 0.3157 | 5.0 | 735 | 0.2644 |
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+ | 0.3157 | 6.0 | 882 | 0.2648 |
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+ | 0.2486 | 7.0 | 1029 | 0.2684 |
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+ | 0.2486 | 8.0 | 1176 | 0.2746 |
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+ | 0.2486 | 9.0 | 1323 | 0.2729 |
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+ | 0.2486 | 10.0 | 1470 | 0.2749 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "layer_norm_epsilon": 1e-05,
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