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--- |
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library_name: transformers |
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license: gemma |
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base_model: google/gemma-2-2b |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: sft-gemma-2-2b-ultrafeedback-binarized-20240920-114857 |
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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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# sft-gemma-2-2b-ultrafeedback-binarized-20240920-114857 |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2499 |
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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: 1.41e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 128 |
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- total_train_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3539 | 0.3350 | 20 | 1.3197 | |
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| 1.3073 | 0.6700 | 40 | 1.2901 | |
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| 1.307 | 1.0050 | 60 | 1.2739 | |
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| 1.2327 | 1.3400 | 80 | 1.2642 | |
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| 1.2515 | 1.6750 | 100 | 1.2567 | |
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| 1.2139 | 2.0099 | 120 | 1.2523 | |
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| 1.2023 | 2.3449 | 140 | 1.2509 | |
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| 1.2031 | 2.6799 | 160 | 1.2499 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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