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fine-tunes-sentiment-nlptown – AI Model by Rameshgarg1994 | AlphaNeural AI
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Rameshgarg1994
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fine-tunes-sentiment-nlptown
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transformers
safetensors
bert
text-classification
generated_from_trainer
nlptown/bert-base-multilingual-uncased-sentiment
finetune
mit
autotrain_compatible
endpoints_compatible
us
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fine-tunes-sentiment-nlptown
This model is a fine-tuned version of
nlptown/bert-base-multilingual-uncased-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1915
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.2488
1.0
178
0.3161
0.2178
2.0
356
0.1915
Framework versions
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
