---
license: apache-2.0
base_model: facebook/convnextv2-tiny-22k-384
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: t20spiders-1000
  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. -->

# t20spiders-1000

This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1862
- Accuracy: 0.9400
- Precision: 0.9412
- Recall: 0.9401
- F1: 0.9403

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.6303        | 1.0   | 250  | 0.4444          | 0.8729   | 0.8811    | 0.8735 | 0.8734 |
| 0.4303        | 2.0   | 500  | 0.2761          | 0.9135   | 0.9162    | 0.9136 | 0.9136 |
| 0.3779        | 3.0   | 750  | 0.2324          | 0.9245   | 0.9263    | 0.9252 | 0.9248 |
| 0.3067        | 4.0   | 1000 | 0.1997          | 0.9360   | 0.9378    | 0.9358 | 0.9363 |
| 0.2619        | 5.0   | 1250 | 0.1862          | 0.9400   | 0.9412    | 0.9401 | 0.9403 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3