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expert_iteration2
qfq/expert_iteration2
expert_iteration2 is a machine learning model from qfq. 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- 2b49fe2d
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. -->
expert_iteration2
This model is a fine-tuned version of qfq/Llama-3.1-8B-Instruct-EI1-2ep-sft-warmupbs on an unknown 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: 6e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Type
- llama
- License
- llama3.1
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024