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gemma-qwantz-punchline
paul-stansifer/gemma-qwantz-punchline
gemma-qwantz-punchline is a machine learning model from paul-stansifer. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- 701f71af
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. -->
gemma-qwantz-punchline
This model is a fine-tuned version of unsloth/gemma-2b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4710
- Accuracy: 0.7824
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6508 | 1.0 | 150 | 0.6241 | 0.6235 |
| 0.5972 | 2.0 | 300 | 0.5388 | 0.7353 |
| 0.4801 | 3.0 | 450 | 0.4710 | 0.7824 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 8, 2024
- Updated
- May 8, 2024