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codeparrot-ds
kuan-wang/codeparrot-ds
codeparrot-ds is a text generation model from kuan-wang. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Oct 9, 2022
- Updated
- Oct 12, 2022
- SHA
- 01219347
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
codeparrot-ds
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2520
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0285 | 0.61 | 5000 | 1.2520 |
Framework versions
- Transformers 4.12.0
- Pytorch 1.12.1
- Datasets 1.12.1
- Tokenizers 0.10.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Oct 9, 2022
- Updated
- Oct 12, 2022