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Llama-3-8B-wikihow
agutell/Llama-3-8B-wikihow
Llama-3-8B-wikihow is a machine learning model from agutell. 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
- May 23, 2024
- Updated
- May 23, 2024
- SHA
- acbb4e8c
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-3-8B-wikihow
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9372
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: 0.002
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1959 | 0.0323 | 20 | 2.0083 |
| 2.0718 | 0.0646 | 40 | 1.9825 |
| 2.0301 | 0.0970 | 60 | 1.9742 |
| 2.0023 | 0.1293 | 80 | 1.9466 |
| 1.9633 | 0.1616 | 100 | 1.9372 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- May 23, 2024
- Updated
- May 23, 2024