canine-rando

This model is a fine-tuned version of google/canine-c on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0006
• Accuracy: 0.9999

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0236	1.0	8000	0.0150	0.9981
0.0016	2.0	16000	0.0006	0.9999

Framework versions

• Transformers 4.40.0
• Pytorch 2.0.0+cu117
• Datasets 2.19.0
• Tokenizers 0.19.1