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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: allenai/OLMo-7B-0724-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: simplewiki_baseline |
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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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# simplewiki_baseline |
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This model is a fine-tuned version of [allenai/OLMo-7B-0724-hf](https://huggingface.co/allenai/OLMo-7B-0724-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3323 |
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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: 0.002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.3175 | 0.5378 | 20 | 2.3252 | |
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| 2.3075 | 1.0538 | 40 | 2.2998 | |
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| 2.2741 | 1.5916 | 60 | 2.3083 | |
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| 2.2257 | 2.1076 | 80 | 2.3041 | |
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| 2.2605 | 2.6454 | 100 | 2.3115 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
