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finetuned_gpt2-large_sst2_negation0.01 – AI Model by yuhuizhang | AlphaNeural AI
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finetuned_gpt2-large_sst2_negation0.01
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
sst2
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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finetuned_gpt2-large_sst2_negation0.01
This model is a fine-tuned version of
gpt2-large
on the sst2 dataset. It achieves the following results on the evaluation set:
Loss: 3.7003
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
2.4321
1.0
1060
3.3586
1.8705
2.0
2120
3.6034
1.6189
3.0
3180
3.7003
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
