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README.md
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---
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license: apache-2.0
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base_model: tigeryi/imagenet1k
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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: imagenet-tiger
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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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# imagenet-tiger
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This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.4890
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- Accuracy: 0.0105
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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: 0.001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 1
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 1
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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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| 6.9338 | 0.4 | 1000 | 6.7408 | 0.0056 |
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| 6.7129 | 0.8 | 2000 | 6.4890 | 0.0105 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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runs/Apr30_01-53-09_8f6e6f1ebfb4/events.out.tfevents.1714442064.8f6e6f1ebfb4.144.0
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size
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size 75788
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