TransferGraph/oferweintraub_bert-base-finance-sentiment-noisy-search-finetuned-lora-ag_news

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oferweintraubbert-base-finance-sentiment-noisy-search-finetuned-lora-agnews

This model is a fine-tuned version of oferweintraub/bert-base-finance-sentiment-noisy-search on the ag_news dataset. It achieves the following results on the evaluation set:

• —accuracy: 0.9295

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