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bert-base-cased-finetuned-news-all-batch16 – AI Model by annabellehuether | AlphaNeural AI
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annabellehuether
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bert-base-cased-finetuned-news-all-batch16
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-cased-finetuned-news-all-batch16
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2721
F1: 0.9272
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: 47
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.0674
1.0
3124
0.1904
0.9236
0.0311
2.0
6248
0.2041
0.9273
0.0101
3.0
9372
0.2721
0.9272
Framework versions
Transformers 4.35.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
