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llama3-8b-lora-summarization-11-v1
klcsp/llama3-8b-lora-summarization-11-v1
llama3-8b-lora-summarization-11-v1 is a machine learning model from klcsp. 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
- Model type
- llama
- Access
- Public
- Created
- Nov 17, 2024
- Updated
- Nov 18, 2024
- SHA
- e24c3a4a
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-lora-summarization-11-v1
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: 2.3661
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6751 | 0.9955 | 111 | 2.3661 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- Type
- llama
- License
- llama3
- Created
- Nov 17, 2024
- Updated
- Nov 18, 2024