Model save
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/deit-tiny-patch16-224
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: quickdraw-DeiT-tiny-c
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 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 |
+
# quickdraw-DeiT-tiny-c
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.9628
|
| 21 |
+
- Accuracy: 0.7773
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0008
|
| 41 |
+
- train_batch_size: 512
|
| 42 |
+
- eval_batch_size: 512
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: cosine
|
| 46 |
+
- lr_scheduler_warmup_steps: 10000
|
| 47 |
+
- num_epochs: 10
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:------:|:-----:|:---------------:|:--------:|
|
| 54 |
+
| 1.315 | 0.5688 | 5000 | 1.2585 | 0.6844 |
|
| 55 |
+
| 1.1484 | 1.1377 | 10000 | 1.1506 | 0.7091 |
|
| 56 |
+
| 1.0423 | 1.7065 | 15000 | 1.0410 | 0.7327 |
|
| 57 |
+
| 0.9596 | 2.2753 | 20000 | 0.9754 | 0.7498 |
|
| 58 |
+
| 0.9363 | 2.8441 | 25000 | 0.9489 | 0.7557 |
|
| 59 |
+
| 0.8768 | 3.4130 | 30000 | 0.9197 | 0.7633 |
|
| 60 |
+
| 0.8655 | 3.9818 | 35000 | 0.8970 | 0.7688 |
|
| 61 |
+
| 0.815 | 4.5506 | 40000 | 0.8845 | 0.7724 |
|
| 62 |
+
| 0.748 | 5.1195 | 45000 | 0.8729 | 0.7761 |
|
| 63 |
+
| 0.7522 | 5.6883 | 50000 | 0.8562 | 0.78 |
|
| 64 |
+
| 0.6854 | 6.2571 | 55000 | 0.8654 | 0.7805 |
|
| 65 |
+
| 0.6899 | 6.8259 | 60000 | 0.8529 | 0.7838 |
|
| 66 |
+
| 0.6162 | 7.3948 | 65000 | 0.8787 | 0.7821 |
|
| 67 |
+
| 0.6159 | 7.9636 | 70000 | 0.8742 | 0.7837 |
|
| 68 |
+
| 0.5498 | 8.5324 | 75000 | 0.9197 | 0.7801 |
|
| 69 |
+
| 0.5087 | 9.1013 | 80000 | 0.9529 | 0.7782 |
|
| 70 |
+
| 0.5053 | 9.6701 | 85000 | 0.9628 | 0.7773 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Framework versions
|
| 74 |
+
|
| 75 |
+
- Transformers 4.41.0
|
| 76 |
+
- Pytorch 2.2.1
|
| 77 |
+
- Datasets 2.19.1
|
| 78 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 21799972
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7c219ca5b8acf117e4abae4004bdceb9f5165c7d35cb25fe6aea51889dba8c7
|
| 3 |
size 21799972
|