Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
IMDB-Bert-CLSModel-v1 – AI Model by haihuynh | AlphaNeural AI
You can deploy this model and start earning money today!
haihuynh
/
IMDB-Bert-CLSModel-v1
like
0
transformers
tensorboard
safetensors
bert
text-classification
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
IMDB-Bert-CLSModel-v1
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4872
Accuracy: 0.8126
F1: 0.8125
Precision: 0.8135
Recall: 0.8127
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: 0.0003
train_batch_size: 32
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.5671
0.6394
500
0.7079
0.4995
0.3347
0.7495
0.5009
0.7017
1.2788
1000
0.6467
0.5744
0.4837
0.7578
0.5755
0.5909
1.9182
1500
0.4872
0.8126
0.8125
0.8135
0.8127
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
