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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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library_name: peft |
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model-index: |
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- name: distilgpt2-lora-text-classification |
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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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# distilgpt2-lora-text-classification |
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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: 6.5596 |
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- Rougel F1: 0.0 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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 | Rougel F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| No log | 1.0 | 83 | 7.1013 | 0.0 | |
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| No log | 2.0 | 166 | 6.9855 | 0.0 | |
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| No log | 3.0 | 249 | 6.8850 | 0.0 | |
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| No log | 4.0 | 332 | 6.7975 | 0.0 | |
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| No log | 5.0 | 415 | 6.7247 | 0.0 | |
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| No log | 6.0 | 498 | 6.6657 | 0.0 | |
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| 7.0748 | 7.0 | 581 | 6.6194 | 0.0 | |
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| 7.0748 | 8.0 | 664 | 6.5859 | 0.0 | |
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| 7.0748 | 9.0 | 747 | 6.5662 | 0.0 | |
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| 7.0748 | 10.0 | 830 | 6.5596 | 0.0 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.43.4 |
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- Pytorch 2.6.0 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |