End of training
Browse files
README.md
CHANGED
|
@@ -13,17 +13,13 @@ model-index:
|
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
|
| 16 |
-
[<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/jose-contreras-itj/huggingface/runs/
|
| 17 |
-
[<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/jose-contreras-itj/huggingface/runs/vl3tqkdm)
|
| 18 |
-
[<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/jose-contreras-itj/huggingface/runs/vl3tqkdm)
|
| 19 |
-
[<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/jose-contreras-itj/huggingface/runs/vl3tqkdm)
|
| 20 |
-
[<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/jose-contreras-itj/huggingface/runs/vl3tqkdm)
|
| 21 |
# Fraunhofer_Classical
|
| 22 |
|
| 23 |
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset.
|
| 24 |
It achieves the following results on the evaluation set:
|
| 25 |
-
- Loss: 0.
|
| 26 |
-
- Accuracy: 0.
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
|
@@ -51,13 +47,17 @@ The following hyperparameters were used during training:
|
|
| 51 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 52 |
- lr_scheduler_type: linear
|
| 53 |
- lr_scheduler_warmup_ratio: 0.1
|
| 54 |
-
- num_epochs:
|
| 55 |
|
| 56 |
### Training results
|
| 57 |
|
| 58 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 59 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 60 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
| 61 |
|
| 62 |
|
| 63 |
### Framework versions
|
|
|
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
|
| 16 |
+
[<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/jose-contreras-itj/huggingface/runs/p10pmnhn)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
# Fraunhofer_Classical
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0235
|
| 22 |
+
- Accuracy: 0.9907
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
|
|
| 47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
- lr_scheduler_type: linear
|
| 49 |
- lr_scheduler_warmup_ratio: 0.1
|
| 50 |
+
- num_epochs: 5
|
| 51 |
|
| 52 |
### Training results
|
| 53 |
|
| 54 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 55 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 56 |
+
| 0.0608 | 0.9954 | 109 | 0.0879 | 0.97 |
|
| 57 |
+
| 0.0607 | 2.0 | 219 | 0.0461 | 0.9833 |
|
| 58 |
+
| 0.0436 | 2.9954 | 328 | 0.0351 | 0.9873 |
|
| 59 |
+
| 0.0202 | 4.0 | 438 | 0.0333 | 0.9883 |
|
| 60 |
+
| 0.0236 | 4.9772 | 545 | 0.0235 | 0.9907 |
|
| 61 |
|
| 62 |
|
| 63 |
### Framework versions
|