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olmo-1b-4k-93k-hellaswag
jungsin3/olmo-1b-4k-93k-hellaswag
olmo-1b-4k-93k-hellaswag is a text generation model from jungsin3. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- olmo2
- Access
- Public
- Created
- Sep 4, 2025
- Updated
- Sep 4, 2025
- SHA
- d43122aa
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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. -->
olmo-1b-4k-93k-hellaswag
This model is a fine-tuned version of jungsin3/olmo-1b-4k-93k 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 4
Training results
Framework versions
- Transformers 4.55.4
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Generation
- Library
- transformers
- Type
- olmo2
- Created
- Sep 4, 2025
- Updated
- Sep 4, 2025