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wizcode1b-finetuned-codex
mjc19/wizcode1b-finetuned-codex
wizcode1b-finetuned-codex is a machine learning model from mjc19. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bigcode-openrail-m.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Feb 14, 2024
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At a glance
- License
- bigcode-openrail-m
- Access
- Public
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024
- SHA
- f5179f03
Base models
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. -->
wizcode1b-finetuned-codex
This model is a fine-tuned version of WizardLM/WizardCoder-1B-V1.0 on the None dataset.
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- License
- bigcode-openrail-m
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024