| --- |
| base_model: LennartKeller/longformer-gottbert-base-8192-aw512 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: de_longformer_abstr_summ |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # de_longformer_abstr_summ |
| |
| This model is a fine-tuned version of [LennartKeller/longformer-gottbert-base-8192-aw512](https://huggingface.co/LennartKeller/longformer-gottbert-base-8192-aw512) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2916 |
| - Precision: 0.2656 |
| - Recall: 0.2673 |
| - F1: 0.2665 |
| - Accuracy: 0.8948 |
| |
| ## 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: 2e-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: linear |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.2741 | 1.0 | 1171 | 0.2860 | 0.0914 | 0.0307 | 0.0459 | 0.8979 | |
| | 0.2474 | 2.0 | 2342 | 0.2694 | 0.2918 | 0.2508 | 0.2697 | 0.8982 | |
| | 0.2074 | 3.0 | 3513 | 0.2916 | 0.2656 | 0.2673 | 0.2665 | 0.8948 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.2.1 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
