Granoladata/biobert_modality

1---2base_model: dmis-lab/biobert-v1.13tags:4- generated_from_trainer5metrics:6- f17model-index:8- name: biobert_modality9  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# biobert_modality16 17This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset.18It achieves the following results on the evaluation set:19- Loss: 0.275320- F1: 0.936821 22## Model description23 24More information needed25 26## Intended uses & limitations27 28More information needed29 30## Training and evaluation data31 32More information needed33 34## Training procedure35 36### Training hyperparameters37 38The following hyperparameters were used during training:39- learning_rate: 2e-0540- train_batch_size: 1641- eval_batch_size: 1642- seed: 4243- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0844- lr_scheduler_type: linear45- num_epochs: 246 47### Training results48 49| Training Loss | Epoch | Step | Validation Loss | F1     |50|:-------------:|:-----:|:----:|:---------------:|:------:|51| 0.3771        | 1.0   | 241  | 0.3110          | 0.9321 |52| 0.1805        | 2.0   | 482  | 0.2753          | 0.9368 |53 54 55### Framework versions56 57- Transformers 4.42.358- Pytorch 2.3.1+cu12159- Datasets 2.20.060- Tokenizers 0.19.161