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anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-ag_news – AI Model by TransferGraph | AlphaNeural AI
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anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-ag_news
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peft
safetensors
parquet
text-classification
ag_news
anirudh21/bert-base-uncased-finetuned-qnli
adapter
apache-2.0
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anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-ag_news
This model is a fine-tuned version of
anirudh21/bert-base-uncased-finetuned-qnli
on the ag_news dataset. It achieves the following results on the evaluation set:
accuracy: 0.9336
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: 0.0004
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
accuracy
train_loss
epoch
0.2609
None
0
0.9232
0.2931
0
0.9275
0.2171
1
0.9322
0.1981
2
0.9336
0.1883
3
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
