MLR
This model is a fine-tuned version of microsoft/resnet-152 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: nan
- eval_accuracy: 0.005
- eval_runtime: 93.8851
- eval_samples_per_second: 106.513
- eval_steps_per_second: 0.213
- 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: 0.01
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for yvs1997/MLR
Base model
microsoft/resnet-152