|
--- |
|
license: apache-2.0 |
|
base_model: Raihan004/Action_model |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: Action_model |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: imagefolder |
|
type: imagefolder |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8488576449912126 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Action_model |
|
|
|
This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5034 |
|
- Accuracy: 0.8489 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.7766 | 0.75 | 100 | 0.6780 | 0.8225 | |
|
| 0.61 | 1.49 | 200 | 0.6279 | 0.8243 | |
|
| 0.4734 | 2.24 | 300 | 0.5593 | 0.8278 | |
|
| 0.5275 | 2.99 | 400 | 0.5148 | 0.8418 | |
|
| 0.3767 | 3.73 | 500 | 0.5129 | 0.8436 | |
|
| 0.3207 | 4.48 | 600 | 0.4966 | 0.8559 | |
|
| 0.3155 | 5.22 | 700 | 0.5251 | 0.8453 | |
|
| 0.2565 | 5.97 | 800 | 0.4790 | 0.8629 | |
|
| 0.2791 | 6.72 | 900 | 0.5111 | 0.8524 | |
|
| 0.1987 | 7.46 | 1000 | 0.5002 | 0.8453 | |
|
| 0.2083 | 8.21 | 1100 | 0.5034 | 0.8629 | |
|
| 0.2567 | 8.96 | 1200 | 0.4995 | 0.8576 | |
|
| 0.2127 | 9.7 | 1300 | 0.5034 | 0.8489 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|