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llama-3-8b-hf-sm-lora
ytcheng/llama-3-8b-hf-sm-lora
llama-3-8b-hf-sm-lora is a machine learning model from ytcheng. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- 62ff8707
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. -->
llama-3-8b-hf-sm-lora
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.3198
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: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7527 | 1.0 | 208 | 2.7346 |
| 2.4709 | 2.0 | 416 | 2.4446 |
| 2.3948 | 3.0 | 624 | 2.3475 |
| 2.2662 | 4.0 | 832 | 2.3198 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- other
- Created
- May 5, 2024
- Updated
- May 5, 2024