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text_to_function_v2 – AI Model by Sandrro | AlphaNeural AI
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Sandrro
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text_to_function_v2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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text_to_function_v2
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: 1.0580
F1: 0.7937
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: 5e-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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.9053
1.0
2925
0.8585
0.7410
0.6403
2.0
5850
0.8756
0.7693
0.4261
3.0
8775
0.9378
0.7872
0.3379
4.0
11700
1.0294
0.7925
0.2362
5.0
14625
1.0580
0.7937
Framework versions
Transformers 4.27.1
Pytorch 2.1.0.dev20230414+cu117
Datasets 2.9.0
Tokenizers 0.13.3
