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electra-base-fp16 – AI Model by TheNewPing | AlphaNeural AI
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electra-base-fp16
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transformers
safetensors
electra
multiple-choice
generated_from_trainer
google/electra-base-discriminator
finetune
apache-2.0
endpoints_compatible
us
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electra-base-fp16
This model is a fine-tuned version of
google/electra-base-discriminator
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3364
Accuracy: 0.8873
Precision: 0.8903
Recall: 0.8835
F1: 0.8869
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.3204
1.0
1074
0.2991
0.8777
0.8868
0.8660
0.8763
0.2293
2.0
2148
0.3006
0.8884
0.8926
0.8832
0.8879
0.1761
3.0
3222
0.3364
0.8873
0.8903
0.8835
0.8869
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
