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KingTechnician/
electra-large-discriminator_LOGIC_Native

Name: electra-large-discriminator_LOGIC_Native
Availability: InStock

generated_from_trainer

google/electra-large-discriminator

finetune

apache-2.0

endpoints_compatible

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electra-large-discriminator_LOGIC_Native

This model is a fine-tuned version of google/electra-large-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0208
Accuracy: 0.6833
Macro Precision: 0.6729
Macro F1: 0.6301

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro Precision	Macro F1
No log	1.0	116	2.4019	0.29	0.2171	0.1836
No log	2.0	232	1.8764	0.4767	0.4286	0.4022
No log	3.0	348	1.5123	0.6167	0.5440	0.5488
No log	4.0	464	1.4121	0.6367	0.5851	0.5757
1.7300	5.0	580	1.3948	0.6333	0.6169	0.5934
1.7300	6.0	696	1.4507	0.6833	0.6637	0.6408
1.7300	7.0	812	1.6601	0.65	0.6276	0.6079
1.7300	8.0	928	1.7656	0.6667	0.6832	0.6241
0.3003	9.0	1044	1.8199	0.67	0.6249	0.6087
0.3003	10.0	1160	1.9297	0.67	0.6601	0.6248
0.3003	11.0	1276	1.9762	0.68	0.6649	0.6310
0.3003	12.0	1392	2.0208	0.6833	0.6729	0.6301

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

KingTechnician/electra-large-discriminator_LOGIC_Native

electra-large-discriminator_LOGIC_Native

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KingTechnician/
electra-large-discriminator_LOGIC_Native