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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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base_model: google/gemma-7b |
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datasets: |
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- generator |
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model-index: |
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- name: gemma7b-summarize-gpt4o-1k |
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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-summarize-gpt4o-1k |
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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: 2.8104 |
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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: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 37.3003 | 0.9231 | 6 | 12.3240 | |
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| 21.0453 | 2.0 | 13 | 7.5884 | |
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| 17.809 | 2.9231 | 19 | 5.6549 | |
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| 3.5386 | 4.0 | 26 | 3.1607 | |
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| 2.02 | 4.9231 | 32 | 2.8709 | |
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| 1.732 | 6.0 | 39 | 2.7893 | |
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| 1.4072 | 6.9231 | 45 | 2.7970 | |
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| 1.3061 | 8.0 | 52 | 2.8125 | |
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| 1.2613 | 8.9231 | 58 | 2.8098 | |
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| 1.2304 | 9.2308 | 60 | 2.8104 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
