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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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<!-- 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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# finetuned-gpt2-model |
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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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## 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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| 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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### Framework versions |
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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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