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bert-base-uncased-ag-news-finetuned-2 – AI Model by odunola | AlphaNeural AI
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bert-base-uncased-ag-news-finetuned-2
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
ag_news
odunola/bert-base-uncased-ag-news-finetuned
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-ag-news-finetuned-2
This model is a fine-tuned version of
odunola/bert-base-uncased-ag-news-finetuned
on the ag_news dataset. It achieves the following results on the evaluation set:
Loss: 0.0712
Accuracy: 0.9819
F1(weighted): 0.9819
Precision(weighted): 0.9819
Recall(weighted): 0.9819
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1(weighted)
Precision(weighted)
Recall(weighted)
0.1006
1.0
6000
0.0712
0.9819
0.9819
0.9819
0.9819
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
