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gpt-finetuned-newspapers-hmd – AI Model by Kaspar | AlphaNeural AI
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Kaspar
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gpt-finetuned-newspapers-hmd
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt-finetuned-newspapers-hmd
This model is a fine-tuned version of
openai-community/gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.2352
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.5261
1.0
9090
4.3209
4.3392
2.0
18180
4.2527
4.2805
3.0
27270
4.2352
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
