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causal_lm_distilgpt2_eli5_finetune – AI Model by jonastokoliu | AlphaNeural AI
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causal_lm_distilgpt2_eli5_finetune
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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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causal_lm_distilgpt2_eli5_finetune
This model is a fine-tuned version of
distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7513
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: 16
eval_batch_size: 16
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
3.9141
1.0
559
3.7688
3.8105
2.0
1118
3.7553
3.7767
3.0
1677
3.7513
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
