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rubert-tiny2-war-posts-finetuned – AI Model by lizaboiarchuk | AlphaNeural AI
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lizaboiarchuk
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rubert-tiny2-war-posts-finetuned
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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rubert-tiny2-war-posts-finetuned
This model is a fine-tuned version of
cointegrated/rubert-tiny2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7097
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
4.3638
1.0
1011
3.9762
4.1361
2.0
2022
3.8631
4.036
3.0
3033
3.7991
3.9467
4.0
4044
3.7706
3.8936
5.0
5055
3.7258
3.8732
6.0
6066
3.7155
3.8431
7.0
7077
3.6837
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
