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fine-tune-danh-gia-cam-xuc – AI Model by vnanhtuan | AlphaNeural AI
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fine-tune-danh-gia-cam-xuc
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
us
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fine-tune-danh-gia-cam-xuc
This model is a fine-tuned version of
distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4050
Accuracy: 0.8970
F1: 0.8972
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3591
1.0
1287
0.3364
0.8815
0.8822
0.1426
2.0
2574
0.3404
0.8932
0.8936
0.4167
3.0
3861
0.4050
0.8970
0.8972
Framework versions
Transformers 4.41.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.19.1
