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gpt2-for-test – AI Model by ybWang | AlphaNeural AI
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ybWang
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gpt2-for-test
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.1293
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.1387
1.0
2334
3.1259
2.9604
2.0
4668
3.1257
2.8686
3.0
7002
3.1293
Framework versions
Transformers 4.32.1
Pytorch 2.1.1
Datasets 2.14.7
Tokenizers 0.13.3
