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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-claude3sonnet-4k |
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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-claude3sonnet-4k |
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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: 3.0527 |
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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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| 21.1609 | 1.0 | 10 | 12.3637 | |
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| 14.2403 | 2.0 | 20 | 7.7626 | |
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| 12.4548 | 3.0 | 30 | 6.8741 | |
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| 8.6478 | 4.0 | 40 | 6.1412 | |
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| 3.1923 | 5.0 | 50 | 4.4401 | |
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| 1.9614 | 6.0 | 60 | 3.3292 | |
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| 1.692 | 7.0 | 70 | 3.1272 | |
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| 1.5661 | 8.0 | 80 | 3.0726 | |
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| 1.5417 | 9.0 | 90 | 3.0536 | |
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| 1.5287 | 10.0 | 100 | 3.0527 | |
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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 |
