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agnews-inferentia – AI Model by serhattekin | AlphaNeural AI
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serhattekin
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agnews-inferentia
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tensorboard
safetensors
bert
generated_from_trainer
ag_news
prajjwal1/bert-tiny
finetune
mit
model-index
us
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agnews-inferentia
This model is a fine-tuned version of
prajjwal1/bert-tiny
on the ag_news dataset. It achieves the following results on the evaluation set:
Loss: 0.2432
Accuracy: 0.9236
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: 16
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
0.2831
1.0
3750
0.2643
0.9145
0.2315
2.0
7500
0.2478
0.9209
0.2129
3.0
11250
0.2432
0.9236
Framework versions
Transformers 4.39.3
Pytorch 2.4.1.post100
Datasets 2.2.1
Tokenizers 0.15.2
