TransferGraph/JNK789_distilbert-base-uncased-finetuned-tweets-emoji-dataset-finetuned-lora-tweet_eval_hate
05
<!-- 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. -->
JNK789distilbert-base-uncased-finetuned-tweets-emoji-dataset-finetuned-lora-tweeteval_hate
This model is a fine-tuned version of JNK789/distilbert-base-uncased-finetuned-tweets-emoji-dataset on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.573
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: 32
- evalbatchsize: 32
- 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