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gemma-2-2b-lora-finetuned
nymless/gemma-2-2b-lora-finetuned
gemma-2-2b-lora-finetuned is a machine learning model from nymless. 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 gemma.
should probably proofread and complete it, then remove this comment. --
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.json34.4 MB · 67%
At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Dec 12, 2024
- Updated
- Dec 16, 2024
- SHA
- 45f2fa00
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-2-2b-lora-finetuned
This model is a fine-tuned version of google/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9087
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: 0.0005
- train_batch_size: 8
- 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: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9661 | 1.0 | 56228 | 1.9576 |
| 1.9164 | 2.0 | 112456 | 1.9087 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- gemma
- Created
- Dec 12, 2024
- Updated
- Dec 16, 2024