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gpt2-ft-with-non-challenging – AI Model by newtonkwan | AlphaNeural AI
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newtonkwan
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gpt2-ft-with-non-challenging
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-ft-with-non-challenging
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.9906
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100.0
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
4.0984
No log
2.0
2
4.0802
No log
3.0
3
4.0443
No log
4.0
4
3.9906
Framework versions
Transformers 4.17.0
Pytorch 1.11.0
Datasets 1.18.4
Tokenizers 0.11.6
