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gpt2-finetuned-liability – AI Model by shiva-shiva-shiva | AlphaNeural AI
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gpt2-finetuned-liability
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-finetuned-liability
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5858
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
1.5083
1.0
520
0.7355
0.8111
2.0
1040
0.6130
0.7104
3.0
1560
0.5858
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
