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distilroberta-base-finetuned-telugu_bert1 – AI Model by Sanath369 | AlphaNeural AI
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Sanath369
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distilroberta-base-finetuned-telugu_bert1
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-finetuned-telugu_bert1
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4618
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.5766
1.0
3750
0.5424
0.5154
2.0
7500
0.4814
0.4873
3.0
11250
0.4567
Framework versions
Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
