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End of training
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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-base-224-22k
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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-base-224-22k-finetuned-Human_Action_Recognition-albumentations
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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-base-224-22k-finetuned-Human_Action_Recognition-albumentations
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This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4392
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- Accuracy: 0.8730
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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 | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.8569 | 0.9915 | 88 | 0.6359 | 0.8349 |
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| 0.5824 | 1.9944 | 177 | 0.4750 | 0.8675 |
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| 0.4928 | 2.9746 | 264 | 0.4392 | 0.8730 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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runs/May26_10-58-51_b570cfc8160e/events.out.tfevents.1716722521.b570cfc8160e.1989.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4cf549279f3886812fde56f637848cca60e431d0bd57b3f63a1bca8e1346741
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size 411
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