bert-base-german-cased-finetuned-subj_v5_7Epoch – AI Model by tbosse | AlphaNeural AI

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tbosse/
bert-base-german-cased-finetuned-subj_v5_7Epoch

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-german-cased-finetuned-subj_v5_7Epoch

This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3036
Precision: 0.7983
Recall: 0.7781
F1: 0.7881
Accuracy: 0.9073

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	32	0.3438	0.6970	0.7107	0.7038	0.8626
No log	2.0	64	0.2747	0.7688	0.7472	0.7578	0.8902
No log	3.0	96	0.2683	0.7827	0.7893	0.7860	0.8981
No log	4.0	128	0.2768	0.8024	0.7528	0.7768	0.9027
No log	5.0	160	0.2881	0.8102	0.7556	0.7820	0.9060
No log	6.0	192	0.3006	0.7959	0.7669	0.7811	0.9040
No log	7.0	224	0.3036	0.7983	0.7781	0.7881	0.9073

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6