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---
license: apache-2.0
base_model: tigeryi/imagenet1k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: imagenet-tiger
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. -->
# imagenet-tiger
This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6595
- Accuracy: 0.8254
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0771 | 1.0 | 1250 | 0.7663 | 0.7971 |
| 0.8206 | 2.0 | 2500 | 0.6772 | 0.8207 |
| 0.7212 | 3.0 | 3750 | 0.6595 | 0.8254 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|