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kcbert-interview-sentiment-ex1 – AI Model by aetin | AlphaNeural AI
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kcbert-interview-sentiment-ex1
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safetensors
bert
generated_from_trainer
alsgyu/sentiment-analysis-fine-tuned-model
finetune
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kcbert-interview-sentiment-ex1
This model is a fine-tuned version of
alsgyu/sentiment-analysis-fine-tuned-model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8484
Accuracy: 0.8331
Macro F1: 0.7797
Weighted F1: 0.8382
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_ratio: 0.06
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
Weighted F1
0.2373
1.0
999
0.6532
0.8247
0.7701
0.8299
0.1028
2.0
1998
0.7480
0.8347
0.7729
0.8391
0.045
3.0
2997
0.8484
0.8331
0.7797
0.8382
Framework versions
Transformers 4.40.2
Pytorch 2.8.0+cu128
Datasets 2.19.0
Tokenizers 0.19.1
