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tmp_trainer

Image Classification

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tmp_trainer

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.2657
Accuracy: 0.4453

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Downloads last month: 4

Safetensors

Model size

2.26M params

Tensor type

F32

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Image Classification

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Evaluation results

Metadata error: specify a dataset to view leaderboard