---
library_name: transformers
license: apache-2.0
base_model: google/efficientnet-b3
tags:
- generated_from_trainer
model-index:
- name: results_final
  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. -->

# results_final

This model is a fine-tuned version of [google/efficientnet-b3](https://huggingface.co/google/efficientnet-b3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4534

## 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: 0.07
- train_batch_size: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 0.02
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7801        | 1.0   | 240  | 3.5997          |
| 3.6030        | 2.0   | 480  | 3.4122          |
| 3.5533        | 3.0   | 720  | 3.4880          |
| 3.4716        | 4.0   | 960  | 3.5813          |
| 3.3849        | 5.0   | 1200 | 3.8072          |
| 3.3499        | 6.0   | 1440 | 3.1296          |
| 3.2501        | 7.0   | 1680 | 3.3787          |
| 3.2307        | 8.0   | 1920 | 3.2702          |
| 3.1690        | 9.0   | 2160 | 3.4604          |
| 3.1316        | 10.0  | 2400 | 3.0390          |
| 3.1056        | 11.0  | 2640 | 3.6019          |
| 3.0999        | 12.0  | 2880 | 3.3648          |
| 3.0658        | 13.0  | 3120 | 3.2586          |
| 3.0190        | 14.0  | 3360 | 3.3761          |
| 2.9633        | 15.0  | 3600 | 3.4629          |
| 2.9125        | 16.0  | 3840 | 2.9820          |
| 2.8926        | 17.0  | 4080 | 2.9411          |
| 2.8830        | 18.0  | 4320 | 2.8852          |
| 2.8468        | 19.0  | 4560 | 2.8470          |
| 2.8401        | 20.0  | 4800 | 3.1739          |
| 2.8407        | 21.0  | 5040 | 2.8360          |
| 2.8088        | 22.0  | 5280 | 2.8013          |
| 2.7835        | 23.0  | 5520 | 2.7773          |
| 2.7627        | 24.0  | 5760 | 2.7736          |
| 2.7417        | 25.0  | 6000 | 2.8376          |
| 2.7228        | 26.0  | 6240 | 2.7436          |
| 2.7087        | 27.0  | 6480 | 2.7369          |
| 2.6784        | 28.0  | 6720 | 2.7986          |
| 2.6436        | 29.0  | 6960 | 2.7207          |
| 2.6153        | 30.0  | 7200 | 5.4534          |


### Framework versions

- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2