bondi_bert-semaphore-prediction-w4-finetuned-lora-tweet_eval_hate
This model is a fine-tuned version of bondi/bert-semaphore-prediction-w4 on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.673
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 |
|---|---|---|
| 0.433 | None | 0 |
| 0.638 | 0.6660 | 0 |
| 0.674 | 0.5964 | 1 |
| 0.676 | 0.5565 | 2 |
| 0.673 | 0.5395 | 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
- 2
Model tree for TransferGraph/bondi_bert-semaphore-prediction-w4-finetuned-lora-tweet_eval_hate
Base model
bondi/bert-semaphore-prediction-w4Dataset used to train TransferGraph/bondi_bert-semaphore-prediction-w4-finetuned-lora-tweet_eval_hate
Evaluation results
- accuracy on tweet_evalvalidation set self-reported0.673