electra_base_generator_AGGRO_V2 – AI Model by Mediocre-Judge | AlphaNeural AI

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Mediocre-Judge/
electra_base_generator_AGGRO_V2

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google/electra-base-generator

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electra_base_generator_AGGRO_V2

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

Loss: 5.8414
Exact Match: 0.0
F1 Score: 7.2863

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: 4
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1 Score
5.9896	0.0053	1	5.9890	0.0	4.4594
5.9717	0.0107	2	5.9786	0.0	4.5055
5.9601	0.0160	3	5.9580	0.0	4.3989
5.9488	0.0214	4	5.9278	0.0	4.7080
5.94	0.0267	5	5.8890	0.0	5.8695
5.9032	0.0321	6	5.8433	0.0	7.2872
5.8764	0.0374	7	5.8002	0.0	6.1300
5.8194	0.0428	8	5.7590	0.0	6.0529
5.7899	0.0481	9	5.7189	0.0	6.1531

Framework versions

Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3