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avinasht/
electra-base-discriminator_flang-bert

Name: electra-base-discriminator_flang-bert
Availability: InStock

generated_from_trainer

google/electra-base-discriminator

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electra-base-discriminator_flang-bert

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

Loss: 0.4214
Accuracy: 0.8830
F1: 0.8826
Precision: 0.8829
Recall: 0.8830

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9314	1.0	91	0.8698	0.6318	0.5743	0.6153	0.6318
0.541	2.0	182	0.4762	0.8237	0.8247	0.8338	0.8237
0.3217	3.0	273	0.3709	0.8580	0.8577	0.8576	0.8580
0.2774	4.0	364	0.4027	0.8596	0.8582	0.8589	0.8596
0.2154	5.0	455	0.4351	0.8424	0.8437	0.8537	0.8424
0.1525	6.0	546	0.4732	0.8487	0.8459	0.8492	0.8487
0.1429	7.0	637	0.4214	0.8830	0.8826	0.8829	0.8830
0.1074	8.0	728	0.5150	0.8674	0.8678	0.8695	0.8674
0.1323	9.0	819	0.5122	0.8705	0.8697	0.8708	0.8705
0.117	10.0	910	0.7296	0.8268	0.8245	0.8294	0.8268
0.1041	11.0	1001	0.5587	0.8643	0.8620	0.8648	0.8643
0.0598	12.0	1092	0.6548	0.8565	0.8564	0.8565	0.8565

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1

avinasht/electra-base-discriminator_flang-bert

electra-base-discriminator_flang-bert

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

avinasht/
electra-base-discriminator_flang-bert