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distilBert_sentiment_test_2023DEC – AI Model by FungSung | AlphaNeural AI
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distilBert_sentiment_test_2023DEC
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
lxyuan/distilbert-base-multilingual-cased-sentiments-student
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilBert_sentiment_test_2023DEC
This model is a fine-tuned version of
lxyuan/distilbert-base-multilingual-cased-sentiments-student
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8211
Y True: [1 2 0 ... 0 2 2]
Y Pred: [1 2 0 ... 0 2 2]
Accuracy: 0.7725
F1: 0.7729
Precision: 0.7741
Recall: 0.7725
Confusion Matrix: [[ 792 191 18] [ 234 1053 143] [ 38 180 885]]
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
