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llama_3_70b_lora_sft_construction
izzcw/llama_3_70b_lora_sft_construction
llama_3_70b_lora_sft_construction is a machine learning model from izzcw. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 11, 2025
- SHA
- 889044f7
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_3_70b_lora_sft_construction
This model is a fine-tuned version of meta-llama/Meta-Llama-3-70B-Instruct on the identity and the filtered_construction_train_data datasets. It achieves the following results on the evaluation set:
- Loss: 0.3475
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2844 | 0.4203 | 30 | 0.3744 |
| 0.2646 | 0.8406 | 60 | 0.3483 |
Framework versions
- PEFT 0.12.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- llama3
- Created
- Apr 10, 2025
- Updated
- Apr 11, 2025