Splend1dchan_bert-base-uncased-slue-goldtrascription-e3-lr1e-4-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of Splend1dchan/bert-base-uncased-slue-goldtrascription-e3-lr1e-4 on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.6869
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 |
---|---|---|
0.5152 | None | 0 |
0.6230 | 0.6797 | 0 |
0.6251 | 0.6591 | 1 |
0.6419 | 0.6296 | 2 |
0.6618 | 0.5978 | 3 |
0.6817 | 0.5772 | 4 |
0.6743 | 0.5497 | 5 |
0.6827 | 0.5394 | 6 |
0.6869 | 0.5343 | 7 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.2
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Dataset used to train TransferGraph/Splend1dchan_bert-base-uncased-slue-goldtrascription-e3-lr1e-4-finetuned-lora-tweet_eval_irony
Evaluation results
- accuracy on tweet_evalvalidation set self-reported0.687