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finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs3 – AI Model by jhaochenz | AlphaNeural AI
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finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs3
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
sst2
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs3
This model is a fine-tuned version of
distilgpt2
on the sst2 dataset. It achieves the following results on the evaluation set:
Loss: 3.2579
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
Training results
Training Loss
Epoch
Step
Validation Loss
2.6821
1.0
1323
3.2535
2.5045
2.0
2646
3.2502
2.4511
3.0
3969
3.2579
Framework versions
Transformers 4.25.1
Pytorch 1.7.0
Datasets 2.8.0
Tokenizers 0.13.2
