Setfit-finetuned-classifier

This model is a fine-tuned version of Kuaaangwen/Setfit-few-shot-classifier on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3147
• Accuracy: 0.9854

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	69	2.6990	0.8832
No log	2.0	138	2.3147	0.9854
No log	3.0	207	2.0378	0.9489
No log	4.0	276	1.8422	0.9635
No log	5.0	345	1.6889	0.9781
No log	6.0	414	1.5720	0.9708
No log	7.0	483	1.4913	0.9781
2.0817	8.0	552	1.4335	0.9708
2.0817	9.0	621	1.3979	0.9781
2.0817	10.0	690	1.3872	0.9854

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2