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mirrorgemma-2-2b-prm-base
rawsh/mirrorgemma-2-2b-prm-base
mirrorgemma-2-2b-prm-base is a text classification model from rawsh. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Sep 23, 2024
- Updated
- Sep 30, 2024
- SHA
- a6bc6d57
Try a prompt
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. -->
mirrorgemma-2-2b-prm-base
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset.
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gemma2
- License
- gemma
- Created
- Sep 23, 2024
- Updated
- Sep 30, 2024