---
license: apache-2.0
base_model: google/canine-c
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: canine-rando-30-chars-5-epoch
  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-5-epoch

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: 0.6015
- Accuracy: 0.7066

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 242  | 0.6975          | 0.5289   |
| No log        | 2.0   | 484  | 0.5939          | 0.6983   |
| 0.6861        | 3.0   | 726  | 0.5975          | 0.6942   |
| 0.6861        | 4.0   | 968  | 0.5858          | 0.7149   |
| 0.6213        | 5.0   | 1210 | 0.6015          | 0.7066   |


### Framework versions

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