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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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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: google/gemma-7b |
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datasets: |
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- llama-duo/synth_classification_dataset_dedup |
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model-index: |
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- name: gemma7b-classification-gpt4o-100k |
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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-classification-gpt4o-100k |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_classification_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4668 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 24 |
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- total_eval_batch_size: 12 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0589 | 1.0 | 319 | 1.7605 | |
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| 1.0 | 2.0 | 638 | 1.7306 | |
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| 0.8741 | 3.0 | 957 | 1.8115 | |
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| 0.7735 | 4.0 | 1276 | 1.9239 | |
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| 0.6599 | 5.0 | 1595 | 2.0617 | |
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| 0.5764 | 6.0 | 1914 | 2.3235 | |
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| 0.4817 | 7.0 | 2233 | 2.6759 | |
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| 0.4016 | 8.0 | 2552 | 3.0133 | |
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| 0.327 | 9.0 | 2871 | 3.4537 | |
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| 0.2814 | 10.0 | 3190 | 3.8273 | |
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| 0.2539 | 11.0 | 3509 | 4.1355 | |
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| 0.233 | 12.0 | 3828 | 4.3549 | |
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| 0.2281 | 13.0 | 4147 | 4.4559 | |
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| 0.2274 | 14.0 | 4466 | 4.4672 | |
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| 0.2251 | 15.0 | 4785 | 4.4668 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
