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Chapter2 – AI Model by heid5356 | AlphaNeural AI | AlphaNeural AI
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Chapter2
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pytorch
tensorboard
distilbert
generated_from_trainer
apache-2.0
us
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Chapter2
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1491
Accuracy: 0.939
F1: 0.9390
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: 64
eval_batch_size: 64
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
0.1789
1.0
250
0.1740
0.932
0.9314
0.1189
2.0
500
0.1573
0.936
0.9361
0.098
3.0
750
0.1491
0.939
0.9390
Framework versions
Transformers 4.16.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
