dkirman-resnetModel / README.md
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---
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_trainer
model-index:
- name: dkirman-resnetModel
results: []
---
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# dkirman-resnetModel
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4993
## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 18 | 7.4801 |
| No log | 2.0 | 36 | 6.8589 |
| No log | 3.0 | 54 | 6.6268 |
| No log | 4.0 | 72 | 6.5658 |
| No log | 5.0 | 90 | 6.4993 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1