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fine-tuned-blog-sentiment – AI Model by pkairpsp | AlphaNeural AI
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fine-tuned-blog-sentiment
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transformers
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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fine-tuned-blog-sentiment
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: 0.3272
Accuracy: 0.9308
F1: 0.9305
Precision: 0.9386
Recall: 0.9308
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
No log
1.0
238
0.2511
0.9245
0.9243
0.9316
0.9245
No log
2.0
476
0.1407
0.9340
0.9337
0.9422
0.9340
0.1044
3.0
714
0.3272
0.9308
0.9305
0.9386
0.9308
Framework versions
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
