Jeevesh8_bert_ft_qqp-55-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of Jeevesh8/bert_ft_qqp-55 on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.6325
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 |
---|---|---|
0.5215 | None | 0 |
0.5393 | 0.9674 | 0 |
0.5550 | 0.6863 | 1 |
0.5749 | 0.6651 | 2 |
0.6063 | 0.6443 | 3 |
0.6178 | 0.6234 | 4 |
0.6136 | 0.6107 | 5 |
0.6230 | 0.6040 | 6 |
0.6325 | 0.5969 | 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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Model tree for TransferGraph/Jeevesh8_bert_ft_qqp-55-finetuned-lora-tweet_eval_irony
Base model
Jeevesh8/bert_ft_qqp-55
Adapter
this model
Dataset used to train TransferGraph/Jeevesh8_bert_ft_qqp-55-finetuned-lora-tweet_eval_irony
Evaluation results
- accuracy on tweet_evalvalidation set self-reported0.632