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distilgpt2-finetuned-distilgpt2-med_articles – AI Model by vishnun | AlphaNeural AI
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vishnun
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distilgpt2-finetuned-distilgpt2-med_articles
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-finetuned-distilgpt2-med_articles
This model is a fine-tuned version of
vishnun/distilgpt2-finetuned-distilgpt2-med_articles
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.3171
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
65
3.3417
No log
2.0
130
3.3300
No log
3.0
195
3.3231
No log
4.0
260
3.3172
No log
5.0
325
3.3171
Framework versions
Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
