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Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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tags:
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- llama-factory
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- generated_from_trainer
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base_model: google/gemma-7b
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model-index:
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- name: Gemma_AAID_mixed_train_final
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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_AAID_mixed_train_final
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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: 0.6939
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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: 0.0003
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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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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| 3.1586 | 0.0109 | 10 | 0.7969 |
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| 0.6717 | 0.0219 | 20 | 0.7616 |
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| 0.5741 | 0.0328 | 30 | 0.7398 |
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| 0.5809 | 0.0438 | 40 | 0.7745 |
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| 0.5313 | 0.0547 | 50 | 0.7014 |
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| 0.4879 | 0.0656 | 60 | 0.7165 |
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| 0.4665 | 0.0766 | 70 | 0.7070 |
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| 0.4509 | 0.0875 | 80 | 0.7005 |
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| 0.4542 | 0.0984 | 90 | 0.6933 |
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| 0.4188 | 0.1094 | 100 | 0.6599 |
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| 0.4131 | 0.1203 | 110 | 0.6593 |
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| 0.4137 | 0.1313 | 120 | 0.6896 |
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| 0.4087 | 0.1422 | 130 | 0.6930 |
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| 0.3968 | 0.1531 | 140 | 0.6692 |
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| 0.4048 | 0.1641 | 150 | 0.6872 |
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| 0.3953 | 0.1750 | 160 | 0.6939 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 100059752
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ebb4e9dda49ba38e533968fbe2696bd4da7abc4c2b52bed4293593d2ae25466
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size 100059752
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