You can deploy this model and start earning money today!

Oscar9898/
kartik-finetune

Name: kartik-finetune
Availability: InStock

generated_from_trainer

karths/binary_classification_train_TD

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

kartik-finetune

This model is a fine-tuned version of karths/binary_classification_train_TD on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6296
Accuracy: 0.6840
Precision: 0.7261
Recall: 0.7553
F1: 0.7404

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.6222	1.0	968	0.6143	0.6683	0.7021	0.7712	0.7351
0.5823	2.0	1936	0.6121	0.6763	0.7202	0.7482	0.7339
0.5491	3.0	2904	0.6084	0.6844	0.7078	0.8022	0.7520
0.5256	4.0	3872	0.6296	0.6840	0.7261	0.7553	0.7404

Framework versions

Transformers 4.55.0
Pytorch 2.7.1+cu118
Datasets 4.0.0
Tokenizers 0.21.1

Oscar9898/kartik-finetune

kartik-finetune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Oscar9898/
kartik-finetune