model_data / README.md
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End of training
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metadata
license: apache-2.0
base_model: google/canine-c
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: model_data
    results: []

model_data

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: 0.0002
  • Accuracy: 1.0000

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
0.0106 1.0 1500 0.1555 0.9762
0.0001 2.0 3000 0.0002 1.0000

Framework versions

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