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codeparrot-ds
mblak3/codeparrot-ds
codeparrot-ds is a machine learning model from mblak3. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- hgrn_bit
- Access
- Public
- Created
- Apr 23, 2025
- Updated
- Apr 25, 2025
- SHA
- ad41d80f
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: 0.8923
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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 |
|---|---|---|---|
| 1.5448 | 0.6359 | 5000 | 0.8923 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.0+cu121
- Datasets 3.3.1
- Tokenizers 0.19.1
- Type
- hgrn_bit
- Created
- Apr 23, 2025
- Updated
- Apr 25, 2025