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---
license: llama3
tags:
- medical
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: LLama3_V03_BRONCO_CARDIO_SUMMARY_CATALOG
results: []
datasets:
- bigbio/bronco
- bigbio/cardiode
- Dev4Med/Notfallberichte-German-100
language:
- de
- en
metrics:
- f1
- precision
- recall
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LLama3_V03_BRONCO_CARDIO_SUMMARY_CATALOG
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.
It achieves the following results on the evaluation set:
- Loss: 0.2899
- Num Input Tokens Seen: 19629947
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.5525 | 0.2500 | 1370 | 0.5227 | 996500 |
| 0.462 | 0.5000 | 2740 | 0.4506 | 1964768 |
| 0.3773 | 0.7501 | 4110 | 0.4044 | 2929826 |
| 0.39 | 1.0001 | 5480 | 0.3481 | 3926663 |
| 0.3027 | 1.2501 | 6850 | 0.3403 | 4961583 |
| 0.262 | 1.5001 | 8220 | 0.3151 | 5936811 |
| 0.261 | 1.7502 | 9590 | 0.2882 | 6889700 |
| 0.2196 | 2.0002 | 10960 | 0.2684 | 7853240 |
| 0.1674 | 2.2502 | 12330 | 0.2706 | 8812931 |
| 0.1651 | 2.5002 | 13700 | 0.2685 | 9784307 |
| 0.1653 | 2.7503 | 15070 | 0.2589 | 10759461 |
| 0.1489 | 3.0003 | 16440 | 0.2516 | 11779925 |
| 0.1185 | 3.2503 | 17810 | 0.2745 | 12770206 |
| 0.1206 | 3.5003 | 19180 | 0.2732 | 13738387 |
| 0.1147 | 3.7503 | 20550 | 0.2745 | 14717093 |
| 0.1184 | 4.0004 | 21920 | 0.2726 | 15706481 |
| 0.1019 | 4.2504 | 23290 | 0.2883 | 16717365 |
| 0.1037 | 4.5004 | 24660 | 0.2897 | 17715535 |
| 0.1039 | 4.7504 | 26030 | 0.2899 | 18685743 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |