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README.md
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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: codeparrot-ds
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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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# codeparrot-ds
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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: 1.0590
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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: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.569 | 0.08 | 5000 | 1.7450 |
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| 1.6804 | 0.15 | 10000 | 1.5230 |
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| 1.5318 | 0.23 | 15000 | 1.4228 |
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| 1.4512 | 0.31 | 20000 | 1.3543 |
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| 1.3933 | 0.38 | 25000 | 1.3017 |
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| 1.341 | 0.46 | 30000 | 1.2547 |
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| 1.2962 | 0.54 | 35000 | 1.2101 |
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| 1.2501 | 0.61 | 40000 | 1.1704 |
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| 1.2074 | 0.69 | 45000 | 1.1307 |
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| 1.1722 | 0.77 | 50000 | 1.0972 |
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| 1.141 | 0.84 | 55000 | 1.0740 |
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| 1.1228 | 0.92 | 60000 | 1.0618 |
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| 1.1126 | 1.0 | 65000 | 1.0590 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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