---
library_name: transformers
license: apache-2.0
base_model: timm/mobilenetv3_small_100.lamb_in1k
tags:
- image-classification
- vision
- timm
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: symbols-mnv3
  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. -->

# symbols-mnv3

This model is a fine-tuned version of [timm/mobilenetv3_small_100.lamb_in1k](https://huggingface.co/timm/mobilenetv3_small_100.lamb_in1k) on the slotwhisperer/symbols-clf dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6815
- Accuracy: 0.8889

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 4    | 3.1175          | 0.0556   |
| No log        | 2.0   | 8    | 2.8743          | 0.1667   |
| No log        | 3.0   | 12   | 2.5718          | 0.3333   |
| No log        | 4.0   | 16   | 2.2845          | 0.8333   |
| No log        | 5.0   | 20   | 2.1047          | 0.8333   |
| No log        | 6.0   | 24   | 1.9366          | 0.8333   |
| No log        | 7.0   | 28   | 1.7910          | 0.8333   |
| No log        | 8.0   | 32   | 1.6815          | 0.8889   |
| No log        | 9.0   | 36   | 1.5946          | 0.8889   |
| No log        | 10.0  | 40   | 1.5051          | 0.8889   |
| No log        | 11.0  | 44   | 1.3821          | 0.8889   |
| No log        | 12.0  | 48   | 1.2910          | 0.8889   |
| No log        | 13.0  | 52   | 1.2662          | 0.8889   |
| No log        | 14.0  | 56   | 1.2408          | 0.8889   |
| No log        | 15.0  | 60   | 1.1884          | 0.8889   |
| No log        | 16.0  | 64   | 1.1121          | 0.8889   |
| No log        | 17.0  | 68   | 1.1140          | 0.8889   |
| No log        | 18.0  | 72   | 1.0818          | 0.8889   |
| No log        | 19.0  | 76   | 1.0813          | 0.8889   |
| No log        | 20.0  | 80   | 1.0582          | 0.8889   |


### Framework versions

- Transformers 5.8.1
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2