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gpt2-large-bn-adapter-7.42M-snli-model1 – AI Model by varun-v-rao | AlphaNeural AI
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varun-v-rao
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gpt2-large-bn-adapter-7.42M-snli-model1
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tensorboard
generated_from_trainer
stanfordnlp/snli
openai-community/gpt2-large
finetune
mit
model-index
us
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gpt2-large-bn-adapter-7.42M-snli-model1
This model is a fine-tuned version of
openai-community/gpt2-large
on the snli dataset. It achieves the following results on the evaluation set:
Loss: 0.2789
Accuracy: 0.8999
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: 32
eval_batch_size: 32
seed: 23
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
0.3594
1.0
17168
0.3009
0.8894
0.3278
2.0
34336
0.2831
0.8967
0.3089
3.0
51504
0.2789
0.8999
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
