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--- |
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license: gemma |
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library_name: peft |
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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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- ipex |
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- GPU Max 1100 |
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- Intel(R) Data Center GPU Max 1100 |
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datasets: |
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- generator |
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base_model: google/gemma-2b |
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model-index: |
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- name: gemma-finetuning |
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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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# gemma-finetuning |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1674 |
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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 Hardware |
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Intel(R) Data Center GPU Max 1100 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.05 |
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- training_steps: 593 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8606 | 0.82 | 100 | 2.5425 | |
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| 2.4479 | 1.64 | 200 | 2.3304 | |
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| 2.3077 | 2.46 | 300 | 2.2351 | |
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| 2.2398 | 3.28 | 400 | 2.1914 | |
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| 2.2083 | 4.1 | 500 | 2.1674 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.0.1a0+cxx11.abi |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
