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Ariffiq99/
KUCI_e_care_Albert_Base_Finetuned

Name: KUCI_e_care_Albert_Base_Finetuned
Availability: InStock

generated_from_trainer

Ariffiq99/e_care_albert_base_finetuned

finetune

apache-2.0

endpoints_compatible

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KUCI_e_care_Albert_Base_Finetuned

This model is a fine-tuned version of Ariffiq99/e_care_albert_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3212
F1: 0.3683

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: 1e-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	F1
1.3365	1.0	5196	1.3307	0.3527
1.3318	2.0	10392	1.3201	0.3720
1.3268	3.0	15588	1.3195	0.3625
1.326	4.0	20784	1.3182	0.3594
1.3204	5.0	25980	1.3159	0.3668
1.3152	6.0	31176	1.3181	0.3638
1.3114	7.0	36372	1.3212	0.3683

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Ariffiq99/KUCI_e_care_Albert_Base_Finetuned

KUCI_e_care_Albert_Base_Finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ariffiq99/
KUCI_e_care_Albert_Base_Finetuned