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de_longformer_abstr_summ – AI Model by MSLars | AlphaNeural AI
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de_longformer_abstr_summ
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transformers
safetensors
longformer
token-classification
generated_from_trainer
LennartKeller/longformer-gottbert-base-8192-aw512
finetune
autotrain_compatible
endpoints_compatible
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de_longformer_abstr_summ
This model is a fine-tuned version of
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
