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llama_dagger_20241027_010023_iter2
qfq/llama_dagger_20241027_010023_iter2
llama_dagger_20241027_010023_iter2 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 30, 2024
- Updated
- Nov 4, 2024
- SHA
- a355b93a
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. -->
llama_dagger_20241027_010023_iter2
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- llama
- License
- llama3.1
- Created
- Oct 30, 2024
- Updated
- Nov 4, 2024