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--- |
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license: apache-2.0 |
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base_model: LeoLM/leo-mistral-hessianai-7b |
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model-index: |
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- name: LeoMistral_V06_BRONCO_CARDIO_SUMMARY_CATALOG |
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results: [] |
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datasets: |
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- bigbio/bronco |
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- Dev4Med/Notfallberichte-German-100 |
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- bigbio/cardiode |
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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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- accuracy |
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- precision |
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--- |
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# LeoMistral_V06_BRONCO_CARDIO_SUMMARY_CATALOG |
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This model is a fine-tuned version of [LeoLM/leo-mistral-hessianai-7b](https://huggingface.co./LeoLM/leo-mistral-hessianai-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2802 |
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- Num Input Tokens Seen: 56173093 |
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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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| 0.7643 | 0.25 | 1377 | 0.7811 | 2763564 | |
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| 0.6186 | 0.5 | 2754 | 0.6358 | 5558436 | |
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| 0.5504 | 0.75 | 4131 | 0.5620 | 8313712 | |
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| 0.5311 | 1.0 | 5508 | 0.5014 | 11183370 | |
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| 0.3525 | 1.25 | 6885 | 0.4752 | 13968826 | |
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| 0.4545 | 1.5 | 8262 | 0.4221 | 16892566 | |
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| 0.4189 | 1.75 | 9639 | 0.3897 | 19596674 | |
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| 0.297 | 2.0 | 11016 | 0.3561 | 22472546 | |
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| 0.2219 | 2.25 | 12393 | 0.3447 | 25171614 | |
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| 0.2962 | 2.5 | 13770 | 0.3171 | 28070134 | |
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| 0.2244 | 2.75 | 15147 | 0.2974 | 30841414 | |
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| 0.307 | 3.0 | 16524 | 0.2774 | 33754586 | |
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| 0.1942 | 3.25 | 17901 | 0.2824 | 36458478 | |
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| 0.2212 | 3.5 | 19278 | 0.2762 | 39268846 | |
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| 0.1737 | 3.75 | 20655 | 0.2713 | 42149206 | |
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| 0.2141 | 4.0 | 22032 | 0.2692 | 44987298 | |
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| 0.2088 | 4.25 | 23409 | 0.2795 | 47803982 | |
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| 0.0971 | 4.5 | 24786 | 0.2801 | 50611334 | |
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| 0.1567 | 4.75 | 26163 | 0.2802 | 53414782 | |
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| 0.1923 | 5.0 | 27540 | 0.2802 | 56173093 | |
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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 |
