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--- |
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license: gemma |
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tags: |
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- medical |
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base_model: google/gemma-2b |
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model-index: |
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- name: Gemma2b_V03_BRONCO_CARDIO_SUMMARY_CATALOG |
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results: [] |
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datasets: |
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- bigbio/bronco |
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- bigbio/cardiode |
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- Dev4Med/Notfallberichte-German-100 |
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language: |
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- de |
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- en |
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metrics: |
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- f1 |
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- precision |
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- recall |
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--- |
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# Gemma2b_V03_BRONCO_CARDIO_SUMMARY_CATALOG |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co./google/gemma-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2659 |
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- Num Input Tokens Seen: 32680580 |
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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: 5e-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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- 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_steps: 50 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:-----:|:---------------:|:-----------------:| |
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| 0.5621 | 0.2500 | 1370 | 0.5018 | 1573488 | |
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| 0.4518 | 0.4999 | 2740 | 0.4115 | 3273680 | |
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| 0.386 | 0.7499 | 4110 | 0.3684 | 4936100 | |
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| 0.364 | 0.9998 | 5480 | 0.3308 | 6511060 | |
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| 0.2709 | 1.2498 | 6850 | 0.3131 | 8278928 | |
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| 0.2422 | 1.4997 | 8220 | 0.2944 | 9895248 | |
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| 0.2264 | 1.7497 | 9590 | 0.2707 | 11490512 | |
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| 0.235 | 1.9996 | 10960 | 0.2554 | 13071912 | |
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| 0.1685 | 2.2496 | 12330 | 0.2606 | 14810372 | |
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| 0.1538 | 2.4995 | 13700 | 0.2519 | 16231800 | |
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| 0.1566 | 2.7495 | 15070 | 0.2459 | 17815564 | |
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| 0.1548 | 2.9995 | 16440 | 0.2387 | 19581608 | |
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| 0.1182 | 3.2494 | 17810 | 0.2599 | 21161040 | |
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| 0.1106 | 3.4994 | 19180 | 0.2576 | 22698788 | |
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| 0.1176 | 3.7493 | 20550 | 0.2550 | 24438800 | |
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| 0.1175 | 3.9993 | 21920 | 0.2558 | 26121308 | |
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| 0.1032 | 4.2492 | 23290 | 0.2645 | 27832740 | |
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| 0.0998 | 4.4992 | 24660 | 0.2656 | 29363700 | |
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| 0.102 | 4.7491 | 26030 | 0.2658 | 31053092 | |
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| 0.1019 | 4.9991 | 27400 | 0.2659 | 32672364 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
