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gpt2-finetuned-wikitext2-test – AI Model by lengoctuong | AlphaNeural AI
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gpt2-finetuned-wikitext2-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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gpt2-finetuned-wikitext2-2-finetuned-wikitext2-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7010
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.9705
0.43
250
3.5828
2.921
0.86
500
3.5685
2.877
1.28
750
3.5727
2.8577
1.71
1000
3.5707
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
