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hing-mbert-finetuned-combined-DS – AI Model by IIIT-L | AlphaNeural AI
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IIIT-L
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hing-mbert-finetuned-combined-DS
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transformers
pytorch
bert
text-classification
generated_from_trainer
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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hing-mbert-finetuned-combined-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: 1.4833
Accuracy: 0.6721
Precision: 0.6460
Recall: 0.6443
F1: 0.6447
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: 4.8796394086479776e-05
train_batch_size: 16
eval_batch_size: 16
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.7382
2.0
1423
0.8027
0.6749
0.6544
0.6590
0.6538
0.2943
4.0
2846
1.4833
0.6721
0.6460
0.6443
0.6447
Framework versions
Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1
