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distilgpt2_finetuneAbstracts – AI Model by kennor506 | AlphaNeural AI
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distilgpt2_finetuneAbstracts
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2_finetuneAbstracts
This model is a fine-tuned version of
distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1080
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
1.2138
1.0
3642
1.1436
1.1815
2.0
7284
1.1167
1.1598
3.0
10926
1.1080
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
