Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-uncased-finetuned-news-1910-1914 – AI Model by sally9805 | AlphaNeural AI
You can deploy this model and start earning money today!
sally9805
/
bert-base-uncased-finetuned-news-1910-1914
like
0
transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-uncased-finetuned-news-1910-1914
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.1261
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.393
1.0
6125
3.1967
3.2866
2.0
12250
3.1316
3.276
3.0
18375
3.1291
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
