TransferGraph/jb2k_bert-base-multilingual-cased-language-detection-finetuned-lora-tweet_eval_irony

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

jb2kbert-base-multilingual-cased-language-detection-finetuned-lora-tweeteval_irony

This model is a fine-tuned version of jb2k/bert-base-multilingual-cased-language-detection on the tweet_eval dataset. It achieves the following results on the evaluation set:

• —accuracy: 0.5906

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: 0.0005
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 8

Training results

Framework versions

• —PEFT 0.8.2
• —Transformers 4.37.2
• —Pytorch 2.2.0
• —Datasets 2.16.1
• —Tokenizers 0.15.2