---
library_name: transformers
license: apache-2.0
base_model: google/canine-s
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: canine-s-fine-tuned-hs-new
  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-s-fine-tuned-hs-new

This model is a fine-tuned version of [google/canine-s](https://huggingface.co/google/canine-s) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- F1: 0.6252
- Roc Auc: 0.5003
- Accuracy: 0.0025

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.6935        | 1.0   | 2002 | 0.6934          | 0.5574 | 0.4996  | 0.0      |
| 0.6933        | 2.0   | 4004 | 0.6932          | 0.6252 | 0.5003  | 0.0025   |
| 0.6933        | 3.0   | 6006 | 0.6933          | 0.5949 | 0.4980  | 0.0005   |
| 0.6933        | 4.0   | 8008 | 0.6932          | 0.5498 | 0.4977  | 0.0      |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1