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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-2b |
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datasets: |
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- llama-duo/synth_summarize_dataset_dedup |
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model-index: |
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- name: gemma2b-summarize-gemini1_5flash-128k |
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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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# gemma2b-summarize-gemini1_5flash-128k |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the llama-duo/synth_summarize_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5119 |
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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: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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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| 1.1289 | 1.0 | 208 | 2.5162 | |
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| 1.0298 | 2.0 | 416 | 2.4574 | |
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| 0.9905 | 3.0 | 624 | 2.4455 | |
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| 0.9668 | 4.0 | 832 | 2.4518 | |
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| 0.9507 | 5.0 | 1040 | 2.4578 | |
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| 0.9348 | 6.0 | 1248 | 2.4685 | |
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| 0.9236 | 7.0 | 1456 | 2.4789 | |
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| 0.9156 | 8.0 | 1664 | 2.4831 | |
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| 0.8987 | 9.0 | 1872 | 2.4963 | |
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| 0.9008 | 10.0 | 2080 | 2.5021 | |
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| 0.8976 | 11.0 | 2288 | 2.5050 | |
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| 0.8941 | 12.0 | 2496 | 2.5107 | |
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| 0.8878 | 13.0 | 2704 | 2.5123 | |
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| 0.8896 | 14.0 | 2912 | 2.5120 | |
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| 0.8797 | 15.0 | 3120 | 2.5119 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.40.1 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
