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models228 – AI Model by sheduele | AlphaNeural AI
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sheduele
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models228
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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models228
This model is a fine-tuned version of
IlyaGusev/rubert_ext_sum_gazeta
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2456
Precision: 0.7118
Recall: 0.7530
F1: 0.7319
Accuracy: 0.9205
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: 4e-05
train_batch_size: 4
eval_batch_size: 4
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
Precision
Recall
F1
Accuracy
No log
1.0
172
0.2966
0.6210
0.6494
0.6349
0.9149
No log
2.0
344
0.2456
0.7118
0.7530
0.7319
0.9205
Framework versions
Transformers 4.30.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
