Commit
•
ef4f836
1
Parent(s):
edbe291
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: google/vit-base-patch16-224
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
- f1
|
| 9 |
+
model-index:
|
| 10 |
+
- name: vit-molecul
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# vit-molecul
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.5737
|
| 22 |
+
- Accuracy: 0.71
|
| 23 |
+
- F1: 0.7086
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 3e-06
|
| 43 |
+
- train_batch_size: 50
|
| 44 |
+
- eval_batch_size: 50
|
| 45 |
+
- seed: 42
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 20
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
|
| 54 |
+
| 0.723 | 1.0 | 8 | 0.6790 | 0.61 | 0.6096 |
|
| 55 |
+
| 0.6915 | 2.0 | 16 | 0.6661 | 0.62 | 0.5924 |
|
| 56 |
+
| 0.6689 | 3.0 | 24 | 0.6470 | 0.69 | 0.6892 |
|
| 57 |
+
| 0.6517 | 4.0 | 32 | 0.6356 | 0.64 | 0.6377 |
|
| 58 |
+
| 0.6368 | 5.0 | 40 | 0.6289 | 0.72 | 0.7199 |
|
| 59 |
+
| 0.621 | 6.0 | 48 | 0.6217 | 0.73 | 0.7293 |
|
| 60 |
+
| 0.6061 | 7.0 | 56 | 0.6197 | 0.69 | 0.6862 |
|
| 61 |
+
| 0.5924 | 8.0 | 64 | 0.6087 | 0.73 | 0.7293 |
|
| 62 |
+
| 0.5767 | 9.0 | 72 | 0.6003 | 0.72 | 0.7199 |
|
| 63 |
+
| 0.5633 | 10.0 | 80 | 0.5953 | 0.72 | 0.7196 |
|
| 64 |
+
| 0.5491 | 11.0 | 88 | 0.5885 | 0.72 | 0.7199 |
|
| 65 |
+
| 0.5351 | 12.0 | 96 | 0.5869 | 0.71 | 0.7100 |
|
| 66 |
+
| 0.5239 | 13.0 | 104 | 0.5867 | 0.7 | 0.6995 |
|
| 67 |
+
| 0.5118 | 14.0 | 112 | 0.5804 | 0.71 | 0.7100 |
|
| 68 |
+
| 0.502 | 15.0 | 120 | 0.5752 | 0.71 | 0.7100 |
|
| 69 |
+
| 0.4942 | 16.0 | 128 | 0.5738 | 0.72 | 0.7199 |
|
| 70 |
+
| 0.4885 | 17.0 | 136 | 0.5771 | 0.71 | 0.7086 |
|
| 71 |
+
| 0.4831 | 18.0 | 144 | 0.5751 | 0.71 | 0.7086 |
|
| 72 |
+
| 0.4793 | 19.0 | 152 | 0.5743 | 0.71 | 0.7086 |
|
| 73 |
+
| 0.4774 | 20.0 | 160 | 0.5737 | 0.71 | 0.7086 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- Transformers 4.31.0
|
| 79 |
+
- Pytorch 2.0.1+cu117
|
| 80 |
+
- Datasets 2.14.1
|
| 81 |
+
- Tokenizers 0.13.3
|