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--- |
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base_model: google/gemma-7b |
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library_name: peft |
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license: gemma |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gemma-7b_oasst1_l0.0002_32-8-8-8-8 |
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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-7b_oasst1_l0.0002_32-8-8-8-8 |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1333 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 1875 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.7307 | 0.0018 | 1 | 1.9676 | |
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| 1.9449 | 0.3392 | 187 | 1.6057 | |
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| 1.3608 | 0.6783 | 374 | 1.6356 | |
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| 1.3231 | 1.0175 | 561 | 1.6897 | |
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| 1.2619 | 1.3566 | 748 | 1.8127 | |
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| 1.0971 | 1.6958 | 935 | 1.7752 | |
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| 0.5605 | 2.0349 | 1122 | 1.9491 | |
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| 0.9008 | 2.3741 | 1309 | 1.8904 | |
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| 0.9005 | 2.7132 | 1496 | 2.0851 | |
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| 0.6184 | 3.0524 | 1683 | 2.1799 | |
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| 0.5547 | 3.3915 | 1870 | 2.1523 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
