|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: cfe-telmex-classification-finetuned-v2 |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: imagefolder |
|
type: imagefolder |
|
config: JoseVilla--cfe_telmex_classification_v1 |
|
split: train |
|
args: JoseVilla--cfe_telmex_classification_v1 |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 1.0 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# cfe-telmex-classification-finetuned-v2 |
|
|
|
This model is a fine-tuned version of [JoseVilla/cfe-telmex-classification-finetuned-v1](https://huggingface.co/JoseVilla/cfe-telmex-classification-finetuned-v1) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1568 |
|
- 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: 5e-05 |
|
- 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 2 | 0.3749 | 0.7586 | |
|
| No log | 2.0 | 4 | 0.1568 | 1.0 | |
|
| No log | 3.0 | 6 | 0.0495 | 1.0 | |
|
| No log | 4.0 | 8 | 0.0188 | 1.0 | |
|
| 0.136 | 5.0 | 10 | 0.0087 | 1.0 | |
|
| 0.136 | 6.0 | 12 | 0.0060 | 1.0 | |
|
| 0.136 | 7.0 | 14 | 0.0063 | 1.0 | |
|
| 0.136 | 8.0 | 16 | 0.0039 | 1.0 | |
|
| 0.136 | 9.0 | 18 | 0.0018 | 1.0 | |
|
| 0.0129 | 10.0 | 20 | 0.0015 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
