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
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for addykan/canine-rando
Base model
google/canine-c