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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-gpt4o-256k |
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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-gpt4o-256k |
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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: 2.5990 |
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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: 3 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 96 |
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- total_eval_batch_size: 24 |
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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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| 1.1174 | 0.9974 | 292 | 2.4482 | |
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| 1.0252 | 1.9983 | 585 | 2.4514 | |
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| 0.988 | 2.9991 | 878 | 2.4683 | |
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| 0.9741 | 4.0 | 1171 | 2.5000 | |
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| 0.9342 | 4.9974 | 1463 | 2.5203 | |
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| 0.9201 | 5.9983 | 1756 | 2.5519 | |
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| 0.9054 | 6.9991 | 2049 | 2.5763 | |
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| 0.8902 | 8.0 | 2342 | 2.5922 | |
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| 0.8818 | 8.9974 | 2634 | 2.5982 | |
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| 0.8852 | 9.9744 | 2920 | 2.5990 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
