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norbert2_sentiment_norec_14 – AI Model by NTCAL | AlphaNeural AI
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norbert2_sentiment_norec_14
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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norbert2_sentiment_norec_14
This model is a fine-tuned version of
bert-large-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6613
Compute Metrics: :
Accuracy: 0.6
Balanced Accuracy: 0.75
F1 Score: 0.6667
Recall: 0.5
Precision: 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: 5e-05
train_batch_size: 2
eval_batch_size: 2
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
Compute Metrics
Accuracy
Balanced Accuracy
F1 Score
Recall
Precision
1.0626
1.0
3
0.6567
:
0.8
0.5
0.8889
1.0
0.8
0.7417
2.0
6
0.6613
:
0.6
0.75
0.6667
0.5
1.0
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2
