metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-de-pesos
results: []
clasificador-de-pesos
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0151
- Accuracy: 1.0
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.93 | 7 | 0.5468 | 0.6190 |
1.0237 | 2.0 | 15 | 0.1113 | 0.9619 |
0.5329 | 2.93 | 22 | 0.0462 | 0.9714 |
0.335 | 4.0 | 30 | 0.0151 | 1.0 |
0.3359 | 4.93 | 37 | 0.1429 | 0.9429 |
0.2794 | 6.0 | 45 | 0.0606 | 0.9619 |
0.2937 | 6.93 | 52 | 0.0159 | 0.9905 |
0.249 | 7.47 | 56 | 0.0184 | 0.9905 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1