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--- |
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license: mit |
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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-sample-2ep-14apr |
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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-sample-2ep-14apr |
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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: 1.6319 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- distributed_type: tpu |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 512 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.1367 | 0.37 | 1000 | 2.5592 | |
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| 2.2049 | 0.74 | 2000 | 2.0419 | |
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| 1.8302 | 1.11 | 3000 | 1.8245 | |
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| 1.6214 | 1.49 | 4000 | 1.6913 | |
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| 1.5125 | 1.86 | 5000 | 1.6319 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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