58 lines
1.2 KiB
Markdown
58 lines
1.2 KiB
Markdown
---
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library_name: transformers
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license: mit
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base_model: OnurDemircioglu/OmniGPT-355M
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tags:
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- generated_from_trainer
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model-index:
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- name: OmniGPT-355M
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# OmniGPT-355M
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This model is a fine-tuned version of [OnurDemircioglu/OmniGPT-355M](https://huggingface.co/OnurDemircioglu/OmniGPT-355M) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
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No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.3
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- Tokenizers 0.22.2
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