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distilgpt2-SCAN – AI Model by jjszpak | AlphaNeural AI
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jjszpak
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distilgpt2-SCAN
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
jjszpak/distilgpt2-SCAN
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-SCAN
This model is a fine-tuned version of
jjszpak/distilgpt2-SCAN
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1280
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
395
0.1359
0.129
2.0
790
0.1278
0.1275
3.0
1185
0.1298
0.1265
4.0
1580
0.1281
0.1265
5.0
1975
0.1280
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
