ssa

This model is a fine-tuned version of Recognai/zeroshot_selectra_small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0036
• Accuracy: 0.9997

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: 3e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0017	1.0	1875	0.0025	0.9997
0.0	2.0	3750	0.0036	0.9997
0.0	3.0	5625	0.0036	0.9997

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2