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gpt-news-model – AI Model by Krishnaikacademy | AlphaNeural AI
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Krishnaikacademy
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gpt-news-model
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
endpoints_compatible
us
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gpt-news-model
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2976
Accuracy: 0.879
F1 Weighted: 0.8954
F1 Macro: 0.6746
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: Use OptimizerNames.ADAMW_TORCH_FUSED 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 Weighted
F1 Macro
0.6035
1.0
150
0.4051
0.8975
0.9282
0.4444
0.3854
2.0
300
0.3676
0.905
0.9354
0.4543
0.3140
3.0
450
0.3326
0.905
0.9364
0.4563
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
