metadata

license: cc-by-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: hing-mbert-finetuned-code-mixed-DS
    results: []

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