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distilgpt2-fda – AI Model by qkou | AlphaNeural AI
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qkou
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distilgpt2-fda
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-fda
This model is a fine-tuned version of
distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7315
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
3.1223
1.0
7958
2.9579
2.9033
2.0
15916
2.7765
2.8392
3.0
23874
2.7315
Framework versions
Transformers 4.25.1
Pytorch 1.11.0+cu115
Datasets 2.7.1
Tokenizers 0.13.2
