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rewardmodel2
calix1/rewardmodel2
rewardmodel2 is a machine learning model from calix1. 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 llama3.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jul 9, 2024
Repo size
27.3 MB
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At a glance
- License
- llama3
- Access
- Public
- Created
- Jul 9, 2024
- Updated
- Jul 9, 2024
- SHA
- 71b11381
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. -->
rewardmodel2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1
- License
- llama3
- Created
- Jul 9, 2024
- Updated
- Jul 9, 2024