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---
license: gemma
tags:
- medical
base_model: google/gemma-2b
model-index:
- name: Gemma2b_V03_BRONCO_CARDIO_SUMMARY_CATALOG
results: []
datasets:
- bigbio/bronco
- bigbio/cardiode
- Dev4Med/Notfallberichte-German-100
language:
- de
- en
metrics:
- f1
- precision
- recall
---
# Gemma2b_V03_BRONCO_CARDIO_SUMMARY_CATALOG
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2659
- Num Input Tokens Seen: 32680580
## 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: 4
- eval_batch_size: 4
- seed: 42
- 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.5621 | 0.2500 | 1370 | 0.5018 | 1573488 |
| 0.4518 | 0.4999 | 2740 | 0.4115 | 3273680 |
| 0.386 | 0.7499 | 4110 | 0.3684 | 4936100 |
| 0.364 | 0.9998 | 5480 | 0.3308 | 6511060 |
| 0.2709 | 1.2498 | 6850 | 0.3131 | 8278928 |
| 0.2422 | 1.4997 | 8220 | 0.2944 | 9895248 |
| 0.2264 | 1.7497 | 9590 | 0.2707 | 11490512 |
| 0.235 | 1.9996 | 10960 | 0.2554 | 13071912 |
| 0.1685 | 2.2496 | 12330 | 0.2606 | 14810372 |
| 0.1538 | 2.4995 | 13700 | 0.2519 | 16231800 |
| 0.1566 | 2.7495 | 15070 | 0.2459 | 17815564 |
| 0.1548 | 2.9995 | 16440 | 0.2387 | 19581608 |
| 0.1182 | 3.2494 | 17810 | 0.2599 | 21161040 |
| 0.1106 | 3.4994 | 19180 | 0.2576 | 22698788 |
| 0.1176 | 3.7493 | 20550 | 0.2550 | 24438800 |
| 0.1175 | 3.9993 | 21920 | 0.2558 | 26121308 |
| 0.1032 | 4.2492 | 23290 | 0.2645 | 27832740 |
| 0.0998 | 4.4992 | 24660 | 0.2656 | 29363700 |
| 0.102 | 4.7491 | 26030 | 0.2658 | 31053092 |
| 0.1019 | 4.9991 | 27400 | 0.2659 | 32672364 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |