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---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-xlarge-224-22k-1k
tags:
- generated_from_trainer
metrics:
- recall
model-index:
- name: convnext-xlarge-224-22k-1k-v13
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. -->
# convnext-xlarge-224-22k-1k-v13
This model is a fine-tuned version of [facebook/convnext-xlarge-224-22k-1k](https://huggingface.co./facebook/convnext-xlarge-224-22k-1k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0104
- Recall: 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use 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_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 9 | 0.0104 | 1.0 |
| 0.0652 | 2.0 | 18 | 0.0278 | 0.9857 |
| 0.03 | 3.0 | 27 | 0.0007 | 1.0 |
| 0.0156 | 4.0 | 36 | 0.0002 | 1.0 |
| 0.0042 | 5.0 | 45 | 0.0001 | 1.0 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
|