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rubert-finetuned-collection3 – AI Model by lsanochkin | AlphaNeural AI
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rubert-finetuned-collection3
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
collection3
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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rubert-finetuned-collection3
This model is a fine-tuned version of
sberbank-ai/ruBert-base
on the collection3 dataset. It achieves the following results on the evaluation set:
Loss: 0.0514
Precision: 0.9355
Recall: 0.9577
F1: 0.9465
Accuracy: 0.9865
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0794
1.0
1163
0.0536
0.9178
0.9466
0.9320
0.9825
0.0391
2.0
2326
0.0512
0.9228
0.9553
0.9388
0.9853
0.0191
3.0
3489
0.0514
0.9355
0.9577
0.9465
0.9865
Framework versions
Transformers 4.25.1
Pytorch 1.13.0.dev20220929+cu117
Datasets 2.8.0
Tokenizers 0.13.2
