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gpt2-large-lora-2.95M-snli-model3 – AI Model by varun-v-rao | AlphaNeural AI
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gpt2-large-lora-2.95M-snli-model3
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transformers
tensorboard
safetensors
gpt2
text-classification
generated_from_trainer
stanfordnlp/snli
openai-community/gpt2-large
finetune
mit
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-large-lora-2.95M-snli-model3
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: 0.3273
Accuracy: 0.8773
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: 128
eval_batch_size: 128
seed: 48
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
0.4334
1.0
4292
0.3554
0.8650
0.4033
2.0
8584
0.3342
0.8749
0.3916
3.0
12876
0.3273
0.8773
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
