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electra-base-mnli – AI Model by TehranNLP-org | AlphaNeural AI
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TehranNLP-org
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electra-base-mnli
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transformers
pytorch
electra
text-classification
generated_from_trainer
en
apache-2.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
google/electra-base-discriminator
on the MNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.4265
Accuracy: 0.8879
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: not_parallel
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3762
1.0
12272
0.3312
0.8794
0.2542
2.0
24544
0.3467
0.8843
0.1503
3.0
36816
0.4265
0.8879
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu113
Datasets 2.1.0
Tokenizers 0.11.6
