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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: GPT2-arithmetic-3digits |
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results: [] |
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datasets: |
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- Nbeau/additiondataset_3digits_10000examples |
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widget: |
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- text: "Input:\n561+372\nTarget:" |
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inference: |
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parameters: |
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add_special_tokens: True |
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do_sample: False |
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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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# GPT2-arithmetic-3digits |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0721 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.116 | 1.0 | 125 | 0.1085 | |
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| 0.0825 | 2.0 | 250 | 0.0801 | |
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| 0.0745 | 3.0 | 375 | 0.0740 | |
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| 0.0733 | 4.0 | 500 | 0.0724 | |
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| 0.7246 | 5.0 | 625 | 0.1426 | |
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| 0.0726 | 6.0 | 750 | 0.0721 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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