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AnanthZeke/
distilbert-base-multilingual-cased-indic_glue

Name: distilbert-base-multilingual-cased-indic_glue
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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distilbert-base-multilingual-cased-indic_glue

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2873
Precision: 0.8099
Recall: 0.8251
F1: 0.8175
Accuracy: 0.9114

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: 5e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.6012	0.31	200	0.3849	0.7566	0.7108	0.7330	0.8722
0.377	0.62	400	0.3365	0.7696	0.7837	0.7766	0.8886
0.3205	0.94	600	0.3093	0.7875	0.7864	0.7869	0.8961
0.2517	1.25	800	0.3050	0.8039	0.8131	0.8085	0.9050
0.2034	1.56	1000	0.2950	0.8129	0.8130	0.8130	0.9098
0.1968	1.88	1200	0.2873	0.8099	0.8251	0.8175	0.9114

Framework versions

Transformers 4.29.2
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

AnanthZeke/distilbert-base-multilingual-cased-indic_glue

distilbert-base-multilingual-cased-indic_glue

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AnanthZeke/
distilbert-base-multilingual-cased-indic_glue