TransferGraph/gchhablani_bert-base-cased-finetuned-wnli-finetuned-lora-ag_news
05
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gchhablanibert-base-cased-finetuned-wnli-finetuned-lora-agnews
This model is a fine-tuned version of gchhablani/bert-base-cased-finetuned-wnli on the ag_news dataset. It achieves the following results on the evaluation set:
- accuracy: 0.9324
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
- trainbatchsize: 24
- evalbatchsize: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 4
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.2