JonatanGk_roberta-base-bne-finetuned-cyberbullying-spanish-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.6
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
- 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: 8
Training results
accuracy | train_loss | epoch |
---|---|---|
0.5257 | None | 0 |
0.5089 | 0.8169 | 0 |
0.5424 | 0.7018 | 1 |
0.5665 | 0.6875 | 2 |
0.5717 | 0.6690 | 3 |
0.5822 | 0.6540 | 4 |
0.5885 | 0.6430 | 5 |
0.5906 | 0.6339 | 6 |
0.6 | 0.6268 | 7 |
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/JonatanGk_roberta-base-bne-finetuned-cyberbullying-spanish-finetuned-lora-tweet_eval_irony
Dataset used to train TransferGraph/JonatanGk_roberta-base-bne-finetuned-cyberbullying-spanish-finetuned-lora-tweet_eval_irony
Evaluation results
- accuracy on tweet_evalvalidation set self-reported0.600