Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
hing-mbert-finetuned-code-mixed-DS – AI Model by Dnyaneshwar | AlphaNeural AI
You can deploy this model and start earning money today!
Dnyaneshwar
/
hing-mbert-finetuned-code-mixed-DS
like
0
transformers
pytorch
bert
text-classification
generated_from_trainer
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
hing-mbert-finetuned-code-mixed-DS
This model is a fine-tuned version of
l3cube-pune/hing-mbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0518
Accuracy: 0.7545
Precision: 0.7041
Recall: 0.7076
F1: 0.7053
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: 2.7277800745684633e-05
train_batch_size: 8
eval_batch_size: 8
seed: 43
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
Accuracy
Precision
Recall
F1
0.8338
1.0
497
0.6922
0.7163
0.6697
0.6930
0.6686
0.5744
2.0
994
0.7872
0.7324
0.6786
0.6967
0.6845
0.36
3.0
1491
1.0518
0.7545
0.7041
0.7076
0.7053
Framework versions
Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
