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berta_report_classifier – AI Model by AgroQwertyAI | AlphaNeural AI
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AgroQwertyAI
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berta_report_classifier
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transformers
safetensors
bert
text-classification
generated_from_trainer
sergeyzh/BERTA
finetune
mit
autotrain_compatible
endpoints_compatible
us
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berta_report_classifier
This model is a fine-tuned version of
sergeyzh/BERTA
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0030
Accuracy: 1.0
F1: 1.0
Precision: 1.0
Recall: 1.0
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0286
1.0
70
0.0343
0.99
0.9900
0.9902
0.99
0.0351
2.0
140
0.0030
1.0
1.0
1.0
1.0
0.0103
3.0
210
0.0077
1.0
1.0
1.0
1.0
0.0011
4.0
280
0.0008
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu124
Datasets 2.14.6
Tokenizers 0.20.3
