---
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