COHeN_2.0_10_epochs – AI Model by martijn75 | AlphaNeural AI

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martijn75/
COHeN_2.0_10_epochs

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text-classification

generated_from_trainer

gngpostalsrvc/BERiT_2.0

autotrain_compatible

endpoints_compatible

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COHeN_2.0_10_epochs

This model is a fine-tuned version of gngpostalsrvc/BERiT_2.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8565
Accuracy: 0.7977

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: 0.0027431492469971175
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	300	0.6733	0.7625
0.7752	2.0	600	0.7937	0.7625
0.7752	3.0	900	0.6977	0.7826
0.4312	4.0	1200	0.7750	0.7659
0.3369	5.0	1500	0.7229	0.8052
0.3369	6.0	1800	0.7256	0.7993
0.2759	7.0	2100	0.8009	0.8177
0.2759	8.0	2400	0.8318	0.8110
0.2366	9.0	2700	0.8419	0.7876
0.2072	10.0	3000	0.8565	0.7977

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0