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pretrained_gpt2 – AI Model by Anish13 | AlphaNeural AI
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Anish13
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pretrained_gpt2
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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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pretrained_gpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.4616
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.48
1.17
500
6.1099
5.5792
2.35
1000
5.7804
5.1247
3.52
1500
5.6199
4.7774
4.69
2000
5.5176
4.4701
5.87
2500
5.4713
4.1836
7.04
3000
5.4591
3.9183
8.22
3500
5.4620
3.7163
9.39
4000
5.4616
Framework versions
Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0
