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m7-app-review-sentiment – AI Model by osamaharrab | AlphaNeural AI
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m7-app-review-sentiment
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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m7-app-review-sentiment
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8127
Accuracy: 0.6375
Macro F1: 0.6340
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
0.8043
1.0
374
0.8027
0.6187
0.6210
0.6003
2.0
748
0.8127
0.6375
0.6340
Framework versions
Transformers 4.41.2
Pytorch 2.12.0+cu130
Datasets 2.21.0
Tokenizers 0.19.1
