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distilbert-base-multilingual-finetuned-telugu – AI Model by heisenberg3376 | AlphaNeural AI
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heisenberg3376
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distilbert-base-multilingual-finetuned-telugu
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transformers
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-multilingual-finetuned-telugu
This model is a fine-tuned version of
distilbert/distilbert-base-multilingual-cased
on
mounikaiiith/Telugu_Sentiment
dataset. It achieves the following results on the evaluation set:
Loss: 1.8134
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.1745
1.0
1000
1.9878
2.0113
2.0
2000
1.8318
1.9189
3.0
3000
1.7414
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
