metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: muril-base-cased-finetuned-code-mixed-DS
    results: []

muril-base-cased-finetuned-code-mixed-DS

This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9319
Accuracy: 0.6982
Precision: 0.6327
Recall: 0.6314
F1: 0.6320

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0542	1.98	248	0.9786	0.5976	0.3936	0.5454	0.4330
0.9307	3.97	496	0.8836	0.5996	0.4072	0.5604	0.4399
0.8323	5.95	744	0.8266	0.5996	0.5508	0.5720	0.4527
0.7554	7.94	992	0.8006	0.6318	0.5601	0.5838	0.5232
0.6821	9.92	1240	0.8777	0.6740	0.5929	0.5875	0.5836
0.6173	11.9	1488	0.8389	0.6640	0.5918	0.6031	0.5881
0.5552	13.89	1736	0.9003	0.6962	0.6240	0.6160	0.6191
0.4932	15.87	1984	0.8979	0.6982	0.6266	0.6231	0.6245
0.4446	17.86	2232	0.9104	0.7002	0.6310	0.6290	0.6298
0.4084	19.84	2480	0.9284	0.7002	0.6278	0.6255	0.6264
0.3763	21.82	2728	0.9228	0.7082	0.6436	0.6380	0.6398
0.3575	23.81	2976	0.9319	0.6982	0.6327	0.6314	0.6320

Framework versions

Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1