File size: 1,939 Bytes
7569227 ba07435 7569227 ba07435 95cb9ca 6a7ace6 ba07435 6a7ace6 ba07435 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-de-pesos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# clasificador-de-pesos
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0739
- Accuracy: 0.9843
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0999 | 0.96 | 13 | 0.7987 | 0.6440 |
| 0.6342 | 2.0 | 27 | 0.2414 | 0.9424 |
| 0.4882 | 2.96 | 40 | 0.1646 | 0.9634 |
| 0.463 | 4.0 | 54 | 0.2528 | 0.9424 |
| 0.4609 | 4.96 | 67 | 0.1130 | 0.9791 |
| 0.4251 | 6.0 | 81 | 0.1304 | 0.9634 |
| 0.3802 | 6.96 | 94 | 0.0739 | 0.9843 |
| 0.4147 | 7.7 | 104 | 0.0675 | 0.9843 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
|