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sentiment-analysis-whatsapp2 – AI Model by aliciiavs | AlphaNeural AI
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sentiment-analysis-whatsapp2
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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sentiment-analysis-whatsapp2
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1871
eval_accuracy: {'accuracy': 0.9445}
eval_f1_macro: 0.9442
eval_runtime: 4.3692
eval_samples_per_second: 457.751
eval_steps_per_second: 7.324
epoch: 2.0
step: 500
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
