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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-8k |
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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-8k |
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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: 2.7259 |
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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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| 18.539 | 0.9744 | 19 | 8.6238 | |
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| 11.8891 | 2.0 | 39 | 6.5199 | |
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| 2.3149 | 2.9744 | 58 | 3.2759 | |
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| 1.5266 | 4.0 | 78 | 2.8999 | |
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| 1.3332 | 4.9744 | 97 | 2.7966 | |
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| 1.2502 | 6.0 | 117 | 2.7460 | |
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| 1.2007 | 6.9744 | 136 | 2.7332 | |
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| 1.1904 | 8.0 | 156 | 2.7283 | |
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| 1.1866 | 8.9744 | 175 | 2.7323 | |
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| 1.1715 | 9.7436 | 190 | 2.7259 | |
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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 |
