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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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- 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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- generator |
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model-index: |
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- name: gemma2b-summarize-claude3sonnet-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-claude3sonnet-256k |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co./google/gemma-2b) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6999 |
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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: 2 |
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- total_train_batch_size: 48 |
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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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| 0.9714 | 0.9994 | 808 | 2.4535 | |
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| 0.8916 | 2.0 | 1617 | 2.4785 | |
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| 0.8752 | 2.9994 | 2425 | 2.5144 | |
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| 0.8424 | 4.0 | 3234 | 2.5590 | |
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| 0.8173 | 4.9994 | 4042 | 2.6021 | |
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| 0.7949 | 6.0 | 4851 | 2.6446 | |
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| 0.7732 | 6.9994 | 5659 | 2.6786 | |
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| 0.7605 | 8.0 | 6468 | 2.6913 | |
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| 0.7532 | 8.9994 | 7276 | 2.6995 | |
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| 0.7647 | 9.9938 | 8080 | 2.6999 | |
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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 2.2.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
