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Llama3-8B-ITCL-Bitnet1.6B-4k-mGPU-8bits
ejbejaranos/Llama3-8B-ITCL-Bitnet1.6B-4k-mGPU-8bits
Llama3-8B-ITCL-Bitnet1.6B-4k-mGPU-8bits is a machine learning model from ejbejaranos. 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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At a glance
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- Oct 14, 2024
- Updated
- Oct 15, 2024
- SHA
- 4f7f7f0c
Base models
Datasets
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. -->
Llama3-8B-ITCL-Bitnet1.6B-4k-mGPU-8bits
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the arrow 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: 0.00015
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- llama
- License
- llama3
- Created
- Oct 14, 2024
- Updated
- Oct 15, 2024