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trainer-chapter5 – AI Model by AlanHou | AlphaNeural AI | AlphaNeural AI
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trainer-chapter5
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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trainer-chapter5
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: 0.2428
Accuracy: 0.9218
F1: 0.9218
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
313
0.2610
0.9104
0.9102
0.3012
2.0
626
0.2428
0.9218
0.9218
Framework versions
Transformers 4.41.2
Pytorch 2.1.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
