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results – AI Model by callista6699 | AlphaNeural AI
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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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results
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: 2.6110
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: 2.934292727323431e-05
train_batch_size: 4
eval_batch_size: 16
seed: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0002
1.0
295
2.6070
0.5428
2.0
590
3.1094
0.0002
3.0
885
2.6110
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1
