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README.md
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---
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license: apache-2.0
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base_model: facebook/convnext-tiny-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: convnext-tiny-224-finetuned
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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-tiny-224-finetuned
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5789
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- Logloss: 1.5789
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- Accuracy: {'accuracy': 0.275}
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Logloss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------------------:|
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| No log | 0.8 | 1 | 1.6327 | 1.6327 | {'accuracy': 0.225} |
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| No log | 1.6 | 2 | 1.5966 | 1.5966 | {'accuracy': 0.275} |
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| No log | 2.4 | 3 | 1.5789 | 1.5789 | {'accuracy': 0.275} |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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