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--- |
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library_name: peft |
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license: gemma |
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base_model: google/gemma-7b |
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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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datasets: |
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- generator |
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model-index: |
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- name: gemma7b-lora-alpaca-11-v1 |
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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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# gemma7b-lora-alpaca-11-v1 |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6643 |
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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: 0.0002 |
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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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.9056 | 0.9924 | 65 | 2.6113 | |
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| 1.8271 | 2.0 | 131 | 1.8230 | |
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| 1.7019 | 2.9924 | 196 | 1.7041 | |
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| 1.7024 | 4.0 | 262 | 1.6962 | |
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| 1.6463 | 4.9618 | 325 | 1.6643 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |