---
library_name: transformers
license: apache-2.0
base_model: tinutmap/categor_ai_23_cats
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: categor_ai_23_cats_train
  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. -->

# categor_ai_23_cats_train

This model is a fine-tuned version of [tinutmap/categor_ai_23_cats](https://huggingface.co/tinutmap/categor_ai_23_cats) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0988
- Accuracy: 1.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 1.5714          | 0.0      |
| No log        | 2.0   | 2    | 0.9634          | 1.0      |
| No log        | 3.0   | 3    | 0.5682          | 1.0      |
| No log        | 4.0   | 4    | 0.3683          | 1.0      |
| No log        | 5.0   | 5    | 0.2697          | 1.0      |
| No log        | 6.0   | 6    | 0.2010          | 1.0      |
| No log        | 7.0   | 7    | 0.1684          | 1.0      |
| No log        | 8.0   | 8    | 0.1496          | 1.0      |
| No log        | 9.0   | 9    | 0.1369          | 1.0      |
| No log        | 10.0  | 10   | 0.1313          | 1.0      |
| No log        | 11.0  | 11   | 0.1261          | 1.0      |
| No log        | 12.0  | 12   | 0.1202          | 1.0      |
| No log        | 13.0  | 13   | 0.1168          | 1.0      |
| No log        | 14.0  | 14   | 0.1131          | 1.0      |
| No log        | 15.0  | 15   | 0.1095          | 1.0      |
| No log        | 16.0  | 16   | 0.1056          | 1.0      |
| No log        | 17.0  | 17   | 0.1026          | 1.0      |
| No log        | 18.0  | 18   | 0.1006          | 1.0      |
| No log        | 19.0  | 19   | 0.0995          | 1.0      |
| No log        | 20.0  | 20   | 0.0988          | 1.0      |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1