Aureliano_distilbert-base-uncased-if-finetuned-lora-tweet_eval_hate
This model is a fine-tuned version of Aureliano/distilbert-base-uncased-if on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.73
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: 32
- eval_batch_size: 32
- 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 |
---|---|---|
0.567 | None | 0 |
0.697 | 0.6033 | 0 |
0.728 | 0.5164 | 1 |
0.725 | 0.4637 | 2 |
0.73 | 0.4379 | 3 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.2
- Downloads last month
- 0
Inference API (serverless) does not yet support peft models for this pipeline type.
Model tree for TransferGraph/Aureliano_distilbert-base-uncased-if-finetuned-lora-tweet_eval_hate
Base model
Aureliano/distilbert-base-uncased-ifDataset used to train TransferGraph/Aureliano_distilbert-base-uncased-if-finetuned-lora-tweet_eval_hate
Evaluation results
- accuracy on tweet_evalvalidation set self-reported0.730