---
license: apache-2.0
base_model: google/canine-c
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: canine-rando-30-chars
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# canine-rando-30-chars

This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7346
- Accuracy: 0.7282

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9127        | 1.0   | 8000  | 0.8745          | 0.6576   |
| 0.7717        | 2.0   | 16000 | 0.7346          | 0.7282   |


### Framework versions

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