metadata
license: apache-2.0
base_model: tigeryi/imagenet1k
tags:
- generated_from_trainer
model-index:
- name: imagenet-tiger
results: []
imagenet-tiger
This model is a fine-tuned version of tigeryi/imagenet1k on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0213
- eval_accuracy: 0.7542
- eval_runtime: 189.3787
- eval_samples_per_second: 52.804
- eval_steps_per_second: 1.653
- step: 0
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1