File size: 2,092 Bytes
5bb29b7 40b0c1e 5bb29b7 40b0c1e 5bb29b7 40b0c1e 5bb29b7 |
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 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trash-classification
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/luthfi-organization/trash-classification/runs/6sv61lxz)
# trash-classification
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1071
- Accuracy: 0.9645
## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 127 | 0.3088 | 0.8973 |
| No log | 2.0 | 254 | 0.2201 | 0.9191 |
| No log | 3.0 | 381 | 0.1929 | 0.9309 |
| 0.3062 | 4.0 | 508 | 0.2113 | 0.9230 |
| 0.3062 | 5.0 | 635 | 0.1429 | 0.9566 |
| 0.3062 | 6.0 | 762 | 0.1071 | 0.9645 |
| 0.3062 | 7.0 | 889 | 0.1364 | 0.9506 |
| 0.0573 | 8.0 | 1016 | 0.1297 | 0.9585 |
| 0.0573 | 9.0 | 1143 | 0.1209 | 0.9585 |
| 0.0573 | 10.0 | 1270 | 0.1143 | 0.9615 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
|