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gpt2_combined – AI Model by amalik27 | AlphaNeural AI
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amalik27
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gpt2_combined
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transformers
pytorch
tensorboard
gpt2
text-classification
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2_combined
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3831
Accuracy: {'accuracy': 0.8384363566339302}
F1: 0.8383
Recall: 0.8626
Precision: 0.8237
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: 0.001
train_batch_size: 4
eval_batch_size: 4
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
Recall
Precision
0.8388
1.0
12117
0.7077
{'accuracy': 0.6159734257654534}
0.5569
0.2514
0.9377
0.3882
2.0
24234
0.3831
{'accuracy': 0.8384363566339302}
0.8383
0.8626
0.8237
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
