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--- |
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license: gemma |
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base_model: google/gemma-7b |
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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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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- GAIR/lima |
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model-index: |
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- name: gemma-lima |
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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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# gemma-lima |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the GAIR/lima 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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 16 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 10.4256 | 0.91 | 5 | 47.0001 | |
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| 6.0419 | 2.0 | 11 | 43.9691 | |
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| 5.2838 | 2.91 | 16 | 40.7857 | |
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| 4.8705 | 4.0 | 22 | 33.9282 | |
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| 4.196 | 4.91 | 27 | 17.5336 | |
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| 3.0724 | 6.0 | 33 | 2.7088 | |
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| 2.1966 | 6.91 | 38 | 2.7434 | |
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| 2.1116 | 8.0 | 44 | 2.7265 | |
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| 2.0641 | 8.91 | 49 | 2.7168 | |
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| 2.0467 | 9.09 | 50 | 2.7259 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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