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finetuned_gpt2-medium_sst2_negation0.001_pretrainedTrue_epochs3 – AI Model by jhaochenz | AlphaNeural AI
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finetuned_gpt2-medium_sst2_negation0.001_pretrainedTrue_epochs3
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
sst2
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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finetuned_gpt2-medium_sst2_negation0.001_pretrainedTrue_epochs3
This model is a fine-tuned version of
gpt2-medium
on the sst2 dataset. It achieves the following results on the evaluation set:
Loss: 3.0568
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
2.2831
1.0
1322
2.8944
1.971
2.0
2644
2.9808
1.8553
3.0
3966
3.0568
Framework versions
Transformers 4.25.1
Pytorch 1.7.0
Datasets 2.8.0
Tokenizers 0.13.2
