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gpt2-answer-generation – AI Model by joel4899 | AlphaNeural AI
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gpt2-answer-generation
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-answer-generation
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1885
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: 16
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2362
1.0
299
0.2160
0.2113
2.0
598
0.1965
0.2015
3.0
897
0.1902
Framework versions
Transformers 4.45.1
Pytorch 2.4.0+cpu
Datasets 3.0.1
Tokenizers 0.20.0
