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poe-gemma-270m
antonpetrovmain/poe-gemma-270m
poe-gemma-270m is a text generation model from antonpetrovmain. Use it when you need the model to write or continue 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 Generation
- Library
- transformers
- License
- gemma
- Model type
- gemma3_text
- Access
- Public
- Created
- Aug 26, 2025
- Updated
- Oct 6, 2025
- SHA
- e7aa0236
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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. -->
poe-gemma-270m
This model is a fine-tuned version of google/gemma-3-270m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2841
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- gemma3_text
- License
- gemma
- Created
- Aug 26, 2025
- Updated
- Oct 6, 2025