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rubert-base-cased-finetuned-mnli – AI Model by taciturno | AlphaNeural AI
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taciturno
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rubert-base-cased-finetuned-mnli
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transformers
pytorch
bert
text-classification
generated_from_trainer
DeepPavlov/rubert-base-cased
finetune
autotrain_compatible
endpoints_compatible
us
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rubert-base-cased-finetuned-mnli
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9008
Accuracy: 0.7575
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: 0.0002
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8474
1.0
6171
0.8942
0.7575
0.8348
2.0
12342
0.9008
0.7575
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.14.6
Tokenizers 0.13.3
