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--- |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- llama-duo/synth_summarize_dataset_dedup |
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base_model: google/gemma-7b |
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model-index: |
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- name: gemma7b-summarize-gpt4o-32k |
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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-32k |
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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_summarize_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5602 |
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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: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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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: 16 |
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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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| 3.5798 | 1.0 | 55 | 4.0590 | |
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| 1.346 | 2.0 | 110 | 2.6944 | |
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| 1.1944 | 3.0 | 165 | 2.6027 | |
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| 1.1119 | 4.0 | 220 | 2.5779 | |
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| 1.0741 | 5.0 | 275 | 2.5495 | |
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| 1.0435 | 6.0 | 330 | 2.5501 | |
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| 1.0191 | 7.0 | 385 | 2.5536 | |
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| 0.9965 | 8.0 | 440 | 2.5604 | |
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| 0.9986 | 9.0 | 495 | 2.5597 | |
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| 0.9948 | 10.0 | 550 | 2.5602 | |
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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 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
