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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: tiny-gpt2-br |
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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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# tiny-gpt2-br |
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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: 3.6213 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 19000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 5.7274 | 0.21 | 1000 | 4.9308 | |
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| 4.7191 | 0.42 | 2000 | 4.5347 | |
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| 4.4579 | 0.63 | 3000 | 4.3432 | |
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| 4.2769 | 0.84 | 4000 | 4.1893 | |
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| 4.1086 | 1.05 | 5000 | 4.0861 | |
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| 3.9327 | 1.26 | 6000 | 3.9992 | |
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| 3.8812 | 1.47 | 7000 | 3.9216 | |
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| 3.8298 | 1.68 | 8000 | 3.8648 | |
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| 3.7785 | 1.89 | 9000 | 3.8126 | |
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| 3.6099 | 2.1 | 10000 | 3.7931 | |
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| 3.471 | 2.31 | 11000 | 3.7539 | |
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| 3.4651 | 2.52 | 12000 | 3.7141 | |
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| 3.4451 | 2.73 | 13000 | 3.6754 | |
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| 3.4251 | 2.94 | 14000 | 3.6327 | |
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| 3.1855 | 3.15 | 15000 | 3.6779 | |
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| 3.0962 | 3.36 | 16000 | 3.6757 | |
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| 3.0971 | 3.56 | 17000 | 3.6437 | |
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| 3.0816 | 3.77 | 18000 | 3.6287 | |
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| 3.0582 | 3.98 | 19000 | 3.6213 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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