You can deploy this model and start earning money today!

contemmcm/
99c190f8de49b6e2f5075412ce35d4ba

Name: 99c190f8de49b6e2f5075412ce35d4ba
Rating: 2.5 (7 reviews)

generated_from_trainer

distilbert/distilbert-base-german-cased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

Views

No views yet

99c190f8de49b6e2f5075412ce35d4ba

This model is a fine-tuned version of distilbert/distilbert-base-german-cased on the contemmcm/trec dataset. It achieves the following results on the evaluation set:

Loss: 0.3832
Data Size: 1.0
Epoch Runtime: 5.7255
Accuracy: 0.9313
F1 Macro: 0.9353

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	1.8109	0	0.7187	0.1896	0.0615
No log	1	170	1.7222	0.0078	0.9486	0.3083	0.1154
No log	2	340	1.6756	0.0156	1.0102	0.2771	0.0723
No log	3	510	1.6151	0.0312	1.4347	0.4938	0.3060
No log	4	680	1.4000	0.0625	1.5097	0.4813	0.3626
0.0873	5	850	1.0070	0.125	1.8094	0.65	0.5492
0.0873	6	1020	0.5201	0.25	2.4130	0.8583	0.8346
0.5087	7	1190	0.4091	0.5	3.3432	0.8604	0.8697
0.2751	8.0	1360	0.2654	1.0	5.9336	0.9083	0.8991
0.173	9.0	1530	0.2511	1.0	5.5779	0.9354	0.9416
0.1083	10.0	1700	0.3018	1.0	5.5198	0.9313	0.9285
0.0852	11.0	1870	0.3959	1.0	5.5980	0.9208	0.9210
0.0405	12.0	2040	0.3991	1.0	5.7099	0.9229	0.9287
0.0282	13.0	2210	0.3832	1.0	5.7255	0.9313	0.9353

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/99c190f8de49b6e2f5075412ce35d4ba

99c190f8de49b6e2f5075412ce35d4ba

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
99c190f8de49b6e2f5075412ce35d4ba