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Tommert25/
robbert1010_lrate7.5b4

Name: robbert1010_lrate7.5b4
Availability: InStock

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Tommert25/robbert0410_lrate7.5b4

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robbert1010_lrate7.5b4

This model is a fine-tuned version of Tommert25/robbert0410_lrate7.5b4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6951
Precisions: 0.8407
Recall: 0.8357
F-measure: 0.8369
Accuracy: 0.9176

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: 7.5e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precisions	Recall	F-measure	Accuracy
0.3016	1.0	942	0.4329	0.8299	0.7433	0.7703	0.8953
0.2107	2.0	1884	0.5107	0.7934	0.7827	0.7878	0.9055
0.154	3.0	2826	0.7341	0.8129	0.7687	0.7758	0.8935
0.1198	4.0	3768	0.7313	0.7973	0.7394	0.7559	0.8993
0.0928	5.0	4710	0.6702	0.7996	0.7765	0.7824	0.8990
0.0529	6.0	5652	0.7075	0.8262	0.7983	0.8099	0.9106
0.039	7.0	6594	0.7946	0.8470	0.7670	0.7899	0.9087
0.0259	8.0	7536	0.6951	0.8407	0.8357	0.8369	0.9176
0.0203	9.0	8478	0.6762	0.8380	0.8210	0.8285	0.9206
0.0181	10.0	9420	0.6993	0.8384	0.8206	0.8289	0.9190

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Tommert25/robbert1010_lrate7.5b4

robbert1010_lrate7.5b4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert1010_lrate7.5b4