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bert-base-cased-finetuned-news-all-pegasus – AI Model by annabellehuether | AlphaNeural AI
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annabellehuether
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bert-base-cased-finetuned-news-all-pegasus
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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-pegasus
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: 0.4839
F1: 0.8979
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: 8
eval_batch_size: 8
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
0.095
1.0
6247
0.2995
0.8903
0.0501
2.0
12494
0.3761
0.8974
0.0159
3.0
18741
0.4839
0.8979
Framework versions
Transformers 4.35.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
