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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: convnext-small-224-leicester_binary
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# convnext-small-224-leicester_binary
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This model is a fine-tuned version of [facebook/convnext-small-224](https://huggingface.co/facebook/convnext-small-224) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2627
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- F1: 0.8608
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 128
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- seed: 1337
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 7 | 0.5187 | 0.8608 |
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| 0.5904 | 2.0 | 14 | 0.4273 | 0.8608 |
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| 0.3981 | 3.0 | 21 | 0.4115 | 0.8608 |
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| 0.3981 | 4.0 | 28 | 0.4029 | 0.8608 |
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| 0.3285 | 5.0 | 35 | 0.3402 | 0.8608 |
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| 0.308 | 6.0 | 42 | 0.3138 | 0.8608 |
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| 0.308 | 7.0 | 49 | 0.2912 | 0.8608 |
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| 0.2952 | 8.0 | 56 | 0.2752 | 0.8608 |
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| 0.2593 | 9.0 | 63 | 0.2657 | 0.8608 |
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| 0.2568 | 10.0 | 70 | 0.2627 | 0.8608 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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