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gpt2-bn-adapter-895K-snli-model1 – AI Model by varun-v-rao | AlphaNeural AI
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gpt2-bn-adapter-895K-snli-model1
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tensorboard
generated_from_trainer
stanfordnlp/snli
openai-community/gpt2
finetune
mit
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gpt2-bn-adapter-895K-snli-model1
This model is a fine-tuned version of
openai-community/gpt2
on the snli dataset. It achieves the following results on the evaluation set:
Loss: 0.4353
Accuracy: 0.8275
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: 64
eval_batch_size: 32
seed: 10
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
Accuracy
0.5633
1.0
8584
0.4692
0.8149
0.5225
2.0
17168
0.4438
0.8248
0.5205
3.0
25752
0.4353
0.8275
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
