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results
marschub/results
results is a machine learning model from marschub. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Dec 6, 2024
- Updated
- Dec 6, 2024
- SHA
- 58abc011
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. -->
results
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6747 | 0.1593 | 500 | nan |
| 0.0 | 0.3187 | 1000 | nan |
| 0.0 | 0.4780 | 1500 | nan |
| 0.0 | 0.6373 | 2000 | nan |
| 0.0 | 0.7967 | 2500 | nan |
| 0.0 | 0.9560 | 3000 | nan |
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.48.0.dev0
- Pytorch 2.3.1.post100
- Datasets 3.1.0
- Tokenizers 0.21.0
- Library
- peft
- License
- llama3.2
- Created
- Dec 6, 2024
- Updated
- Dec 6, 2024