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--- |
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license: llama3 |
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tags: |
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- medical |
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base_model: meta-llama/Meta-Llama-3-8B |
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model-index: |
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- name: LLama3_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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<!-- 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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# LLama3_V03_BRONCO_CARDIO_SUMMARY_CATALOG |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2899 |
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- Num Input Tokens Seen: 19629947 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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| 0.5525 | 0.2500 | 1370 | 0.5227 | 996500 | |
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| 0.462 | 0.5000 | 2740 | 0.4506 | 1964768 | |
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| 0.3773 | 0.7501 | 4110 | 0.4044 | 2929826 | |
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| 0.39 | 1.0001 | 5480 | 0.3481 | 3926663 | |
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| 0.3027 | 1.2501 | 6850 | 0.3403 | 4961583 | |
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| 0.262 | 1.5001 | 8220 | 0.3151 | 5936811 | |
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| 0.261 | 1.7502 | 9590 | 0.2882 | 6889700 | |
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| 0.2196 | 2.0002 | 10960 | 0.2684 | 7853240 | |
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| 0.1674 | 2.2502 | 12330 | 0.2706 | 8812931 | |
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| 0.1651 | 2.5002 | 13700 | 0.2685 | 9784307 | |
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| 0.1653 | 2.7503 | 15070 | 0.2589 | 10759461 | |
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| 0.1489 | 3.0003 | 16440 | 0.2516 | 11779925 | |
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| 0.1185 | 3.2503 | 17810 | 0.2745 | 12770206 | |
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| 0.1206 | 3.5003 | 19180 | 0.2732 | 13738387 | |
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| 0.1147 | 3.7503 | 20550 | 0.2745 | 14717093 | |
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| 0.1184 | 4.0004 | 21920 | 0.2726 | 15706481 | |
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| 0.1019 | 4.2504 | 23290 | 0.2883 | 16717365 | |
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| 0.1037 | 4.5004 | 24660 | 0.2897 | 17715535 | |
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| 0.1039 | 4.7504 | 26030 | 0.2899 | 18685743 | |
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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 |
