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gpt2-NaturalQuestions_1000-ep20 – AI Model by Zekunli | AlphaNeural AI
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gpt2-NaturalQuestions_1000-ep20
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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-NaturalQuestions_1000-ep20
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3599
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: 48
eval_batch_size: 96
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
1.7353
2.38
50
1.3855
1.2459
4.76
100
1.3351
1.0626
7.14
150
1.3208
0.9454
9.52
200
1.3310
0.8555
11.9
250
1.3389
0.7901
14.29
300
1.3456
0.7444
16.67
350
1.3569
0.7227
19.05
400
1.3593
Framework versions
Transformers 4.29.2
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.13.3
